Autonomous Vehicle Test & Development Symposium 2017
 
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2017 Conference Programme

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Day 1

Wednesday 25 October

8.15am - 8.50am - Networking Breakfast
Conference Foyer Area

Join us on the opening morning for our complimentary networking breakfast. All speakers, delegates, and sponsors are invited to attend.

9am - 12.30pm - Opening Session
Opal/Garnet Conference Room

Moderator
Brian Ceccarelli, principal engineer, Talus Software PLLC, USA

9am - VTTI: research solutions for the safe deployment of automated vehicles
Michelle Chaka, program director, Virginia Tech Transportation Institute, USA
How safe is safe? This presentation will consider the expectations and pre-deployment challenges facing highly automated vehicles. It will discuss the groundbreaking research VTTI and its sponsors/partners are undertaking to pioneer solutions that advance the safe deployment of automated vehicles.

9.30am - Smarter test for smart vehicles
Nicholas Keel, group manager, automotive product management, National Instruments, USA
Testing strategies of the past are inadequate for the autonomous vehicles of the future. To meet external safety and customer demands and internal time-to-market and cost pressures, you need a platform that is able to fully emulate and test ADAS, V2X, infotainment, powertrain, and body and chassis hardware and software as integrated systems instead of just discrete subsystems. NI delivers a flexible, futureproof system with the breadth of I/O, system-wide timing and synchronization capability, and software-first adaptability to meet automotive test demands from concept through production today, and tomorrow.

10am - New testing requirements: potential roles of track, simulation and on-road testing
Dr Shawn Kimmel, lead technologist, Booz Allen Hamilton, USA
Testing of highly automated vehicles (HAVs) will require new tools and methods to address the increased complexity of these technologies. Numerous potential scenarios may be encountered by HAVs; there is a challenge to create objective, repeatable and transparent tests to bring safe products to market. This talk will explore potential new testing requirements based on an analysis of proposed HAV functions, operational design domains, and object and event detection and recognition. A framework will be presented on the roles of simulation and on-road testing to enable rapid and inexpensive testing of a wide range of conditions and software pathways.

10.30am - 11am - Break

11am - Scenario generation for L4 automated vehicles
Phil Magney, principal advisor, Vision Systems Intelligence LLC, USA
When is a system 'good enough'? Which scenarios should be tested until a system can be released? How many kilometers need to be driven to prove that a system is robust and failsafe? And should there be a retest of all scenarios after a hardware or software update? When developing L4 applications it is extremely important to create a library of scenarios and models to validate features. Scenarios and scenario models contribute not only to performance validation but also to system requirements. Furthermore, several non-functional and performance requirements are driven from use cases, which bring significant value in autonomous vehicle development. In this session, VSI examines the latest approaches for scenario mining as well as best practices for converting those into viable simulations.

11.30am - Innovative concepts for safely testing autonomous vehicles
Dr Mark Whorton, executive director, University of Tennessee Space Institute, USA
Integrating digital engineering approaches developed by DoD and NASA, a shift to an architecture-centric, model-based systems engineering/model-based engineering approach can: (1) Provide a quantifiable, incremental validation of safety and maintain constant digital connectivity between requirements, design, performance and safety requirements over the lifecycle; (2) Shift discovery of defects and emergent behaviors to the left in the development cycle, increasing safety and reducing time to market; (3) Support application of non-deterministic control and monitoring methods to ensure fail-safe operations during testing; (4) Apply deep-learning big data analytics to fleet operational performance to improve design, development and test processes.

12pm - Integrating autonomous vehicles requires high reliability of ADS systems
Ralph Buckingham, director - connected/autonomous technologies, Intertek Transportation Technologies, USA
The reliability and performance of components used to perform automated driving system functions has to be of the highest caliber to ensure the safe integration of autonomous vehicles with other road users. This presentation will cover current technologies being used to automate vehicles, known reliability/performance challenges, and testing processes that can be leveraged to improve reliability. Specific areas of focus will be radar/lidar/camera technologies, the current state of each technology as it pertains to design robustness/reliability/performance, and the testing methods that can be used to improve reliability: design validation/accelerated stress testing/failure analysis.

12.30pm - 1.30pm - Lunch

1.30pm - 6pm - Afternoon Session
Opal/Garnet Conference Room

Moderator
Nicholas Keel, group manager, automotive product management, National Instruments, USA

1.30pm - ADAS Analytics: Detection, Learning and Prevention
Honghao Tan, principal engineer, Harman International, USA
As ADAS systems evolve and the public debates the safety of autonomous driving, there is a need to validate safety features efficiently, identify any potential faults, and help upgrade vehicles accordingly throughout their life cycle. One such system is an ADAS analytics, which designs calibrated triggers to look for rare events in ADAS functions, gathering the appropriate data with minimum bandwidth during rare events, uploading it to a data center, and then automatically processing it. This approach enables continuous learning, sensing system improvements and rare event detection that adds robustness to the overall ADAS market required to support autonomous driving.

2pm - Designing sensor algorithms for the automobile environment
Tony Gioutsos, director, TASS International, USA
The difference between an automobile environment and other environments when designing an algorithm is substantial. When driving a vehicle at a high rate of speed, any error can produce tragic results. Because automobiles are expected to survive 15 years in all kinds of conditions, it is basically impossible to design sensor algorithms that are tested for all kinds of scenarios that could be encountered. In this paper, we outline a generic approach to designing sensor algorithms that are robust to the real world.

2.30pm - VeHiL real-time operating autonomous vehicle testbed
Prof Abdel Mayyas, assistant professor, Arizona State University, USA
Although model predictive control offers great promise to solve many energy and reliability problems in modern vehicles, transitioning from high to full autonomous driving across different contexts requires new creative methods for testing and validation. This work proposes a new deployment of the real-time operating connected vehicle testbed for VeHiL.

3pm - Signalized intersections prevent traveling from point A to point B legally
Brian Ceccarelli, principal engineer, Talus Software PLLC, USA
The implementation of signalized intersections makes it impossible for AV manufacturers to meet the requirement that vehicles shall travel from point A to point B legally and safely. There are five major defects in the physics of traffic signals that make it impossible for an AV to legally and safely navigate an intersection in all cases: 1) The universal application of special-case-only kinematic equation; 2) The use of the wrong initial velocity; 3) The misapplication of stochastic methods to human and vehicle factors; 4) The assumption that analytic solutions are physical solutions; 5) The omission of yellow light tolerance computations.

3.30pm - 4pm - Break

4pm - Validating advanced driver assistance systems using HiL test benches
Sean Wyatt, senior project engineer / program manager, engineering test solutions, ETAS Inc, USA
Hardware-in-the-loop (HiL) based testing methods offer the great advantage of validating components and systems at an early stage of the development cycle, and they are established in the automotive industry. When validating advanced driver assistance systems using HiL test benches, engineers face different barriers and conceptual difficulties: how to pipe simulated signals into multiple sensors including radar, ultrasonic, video or lidar; how to combine classical physical simulations, e.g. vehicle dynamics, with sophisticated three-dimensional, GPU-based environmental simulations. We discuss two categories: 1) Hardware level: communications structure; 2) Software level: providing data the UuT expects.

4.30pm - Smart center development and implementation of autonomous test environments
Ron Burton, VP laboratory business unit, Transportation Research Center Inc & SEA Ltd, USA
The presentation will give an introduction to the tools available to evaluate the safety and reliability of current and developing AV technologies. The tools provide a means to design, configure and execute test scenarios in a dynamic environment. This includes how objects are controlled and scheduled to move, as well as how they respond and react to other objects or triggers in the scenario. Objects such as traffic signals, soft targets, strikeable pedestrians and other unmanned vehicles can interact with a subject AV in defined scenarios to determine roadworthiness.

5pm - 6pm - Panel Discussion - How can we accelerate AV testing, while upholding stringent validation and robust safety measures?

Dr Shawn Kimmel, lead technologist, Booz Allen Hamilton, USA
Dr Edward Kraft, associate executive director for research, University of Tennessee Space Institute, USA
Brian Ceccarelli, principal engineer, Talus Software PLLC, USA
Tony Gioutsos, director, TASS International, USA
Prof Abdel Mayyas, assistant professor, Arizona State University, USA


Moderator:
Nicholas Keel, group manager, automotive product management, National Instruments

Day 2

Thursday 26 October

9am - 12.30pm - Morning Session
Opal/Garnet Conference Room

Moderator
Paul Krutko, president and CEO, Ann Arbor SPARK, USA

9am - The use of physical validation space for autonomous vehicles
Paul Krutko, president and CEO, Ann Arbor SPARK, USA
This session will highlight the methodology utilized by purpose-built testing and validation centers, and the benefits of using this approach. Connected, automated and autonomous vehicle technology will change the level of safety on our roads. This technology has now been deployed on public roads, but further validation is needed to perfect the technology. The United States has designated 10 sites as proving grounds, based on the concept that there needs to be more attention dedicated to these efforts. Software-based testing used today is an important part of the validation scheme, but requires physical deployments to further validate.

9.30am - Automotive radar simulation for ADAS and autonomous driving
Dr Sandeep Sovani, director, global automotive industry, ANSYS, USA
Simulation is crucial in automotive radar development since it provides precise insights into real-life radar operation, at a fraction of the cost and time needed for physical field tests. High-fidelity physics-based simulation techniques such as an electromagnetic field solver and a shooting-bouncing rays solver are needed to provide results with real-life accuracy. Simulation of five aspects of radar development will be presented: (a) antenna design; (b) isolated radar simulation; (c) as-installed radar simulation; (d) in-environment radar simulation; (e) in-driving scenario radar simulation.

10am - Verifying functional safety and ISO 26262 in autonomous vehicles
Vince Socci, business development, real-time test HIL manager, National Instruments, USA
Functional safety is a preeminent requirement for automotive systems. Many methods typically used to verify functional safety assume deterministic software, comprehensive requirements-based testing, system simulation through HIL and fail-operational responses. Autonomous vehicle applications challenge system verification and validation to ISO 26262 guidelines, especially where comprehensive testing is impractical. This presentation will outline those challenges and define a framework for functional safety compliance using NI tools. Successful case studies will be highlighted.

10.30am - 11am - Break

11am - Cybersecurity for autonomous vehicles: problems and solutions
Dr Jeremy Straub, assistant professor, North Dakota State University, USA
This presentation provides an overview of the cybersecurity issues that currently face vehicles with limited autonomy as well as issues that will become more pronounced at higher vehicle autonomy levels. These issues are considered at both the individual vehicle and system-of-vehicles level. The efficacy of current cybersecurity techniques for responding to these problems is considered. Gaps that are not filled by conventional techniques are identified. Potential solutions for filling these gaps are suggested and a discussion of their feasibility and development pathway is presented. The use of intrusion detection systems as a catch-all for unexpected attack types is also discussed.

11.30am - Applying artificial intelligence to achieve safe Level 5 autonomy
Dominic Gallello, president and CEO, MSC Software, USA
We have a long journey ahead to move from current offline simulation methods to testing for cars driving completely without human intervention. There are still many challenges to be solved, much technology to be invented and many more orders of magnitude of simulations to be performed than what is currently being done today. The use of artificial intelligence is the key to making safe self-driving cars possible. In this session, Dominic Gallello will provide an overview of the basics of artificial intelligence and the development of perception and decision neural networks necessary to deliver autonomous driving with high confidence.

12pm - Taking autonomous testing to the virtual streets
Scott Harvey, co-founder, Civil Maps, USA
Testing autonomous vehicles is both resource and time intensive. Driverless vehicles must be prepared to travel in different environments, weather conditions and with an infinite combination of sensor technologies. Civil Maps, the Ford-funded cognition systems provider for autonomous vehicles, has created a solution to test autonomous cars in a virtual environment. Its Synthetics platform is a software offering that trains driverless cars in simulated, procedurally generated worlds.

12.30pm - 1.30pm - Lunch

1.30pm - 5pm - Afternoon Session
Opal/Garnet Conference Room

Moderator
Dr Sandeep Sovani, director, global automotive industry, ANSYS, USA

1.30pm - An overview of a rapid prototyping and testing platform for autonomous vehicle software developers
Joachim Fritzson, CEO, Zuragon Inc, SWEDEN
Over the past decade, autonomous driving technology has attracted considerable attention of the public, governments, the scientific community, and the industry around the world for enhancing driver safety and assistance. However, automakers and suppliers are having a difficult time to find experienced autonomous vehicle developers, because the academic institutions and programs are either slow to adapt or nonexistent. This presentation covers a smartphone-based field data logging system, a playback-based multiple sensors emulation system, an autonomous vehicle control software implementation system via in-vehicle network, and a driving simulation system for real-time vehicle dynamics and environmental sensors. The platform was used for training courses for autonomous vehicle software developers, and the results showed that the rapid prototyping and testing platform is effective in setting up a development environment and validating control software for an autonomous vehicle.

2pm - Virtual testing of traffic scenarios using real-world data
Kunal Patil, senior applications engineer, dSpace Inc, USA
This presentation will give an overview of how you can get the real world to your virtual test drives for testing of traffic scenarios. It will show how to use the dSPACE ASM tool chain to define road networks, and vehicle and traffic object movements for testing of autonomous driving features.

2.30pm - Deploying automated mobility services: revolution of the transportation ecosystem
Leemor Chandally, director of strategic partnerships, BestMile, USA
Although incredibly advanced, autonomous vehicles are not sufficient to offer a mobility service. Optimization has to take place at the fleet scale in order to create a coordinated and efficient mobility service. Like two pieces of the same puzzle, autonomous vehicles and fleet optimization platforms are complementary and form a sustainable, efficient and revolutionary autonomous transportation system. BestMile was the first company offering on-demand autonomous mobility services and is now enabling the first instances in which electric autonomous shuttles are circulating through city centers on pedestrian areas and open roads, and servicing the public on a daily basis.

3pm - In-vehicle measurement and calibration of ADAS ECUs
Jayesh Patel, application engineer, ETAS, USA
ADAS automate, adapt and enhance automobiles for safety and better driving. ADAS will become a component of autonomously driving vehicles. ADAS uses different sensors than those used in automotive controllers for powertrains and chassis control, e.g. cameras. Thus, ADAS calibration engineers will have to record video data in the test vehicle, and time-align it with data from traditional sensors as well as with data computed inside the ADAS controller. This presentation will show how to simultaneously measure and align real-time data generated by ADAS controllers with data from video cameras, and with continuous-time electric signals from other sensors.

3.30pm - 4pm - Break

4pm - 5pm - Panel Discussion - Virtual and simulation testing, working in hand with real world on-road mileage.
Here we discuss how the importance of both methods is a must to advance AV development and how data from each can assist the wider goal of safe AV deployment.
Paul Krutko, president and CEO, Ann Arbor SPARK, USA
Scott Harvey, co-founder, Civil Maps, USA
Vince Socci, business development, real-time test HIL manager, National Instruments, USA
Jayesh Patel, application engineer, ETAS, USA


Moderator:
Sandeep Sovani, director, global automotive industry, ANSYS

*This Programme may be subject to change.

Day 1

Wednesday 25 October

8.15am - 8.50am - Networking Breakfast
Conference Foyer Area

Join us on the opening morning for our complimentary networking breakfast. All speakers, delegates, and sponsors are invited to attend.

9am - 12.30pm - Opening Session
Opal/Garnet Conference Room

Moderator
Brian Ceccarelli, principal engineer, Talus Software PLLC, USA

9am - VTTI: research solutions for the safe deployment of automated vehicles
Michelle Chaka, program director, Virginia Tech Transportation Institute, USA
How safe is safe? This presentation will consider the expectations and pre-deployment challenges facing highly automated vehicles. It will discuss the groundbreaking research VTTI and its sponsors/partners are undertaking to pioneer solutions that advance the safe deployment of automated vehicles.

9.30am - Smarter test for smart vehicles
Nicholas Keel, group manager, automotive product management, National Instruments, USA
Testing strategies of the past are inadequate for the autonomous vehicles of the future. To meet external safety and customer demands and internal time-to-market and cost pressures, you need a platform that is able to fully emulate and test ADAS, V2X, infotainment, powertrain, and body and chassis hardware and software as integrated systems instead of just discrete subsystems. NI delivers a flexible, futureproof system with the breadth of I/O, system-wide timing and synchronization capability, and software-first adaptability to meet automotive test demands from concept through production today, and tomorrow.

10am - New testing requirements: potential roles of track, simulation and on-road testing
Dr Shawn Kimmel, lead technologist, Booz Allen Hamilton, USA
Testing of highly automated vehicles (HAVs) will require new tools and methods to address the increased complexity of these technologies. Numerous potential scenarios may be encountered by HAVs; there is a challenge to create objective, repeatable and transparent tests to bring safe products to market. This talk will explore potential new testing requirements based on an analysis of proposed HAV functions, operational design domains, and object and event detection and recognition. A framework will be presented on the roles of simulation and on-road testing to enable rapid and inexpensive testing of a wide range of conditions and software pathways.

10.30am - 11am - Break

11am - Scenario generation for L4 automated vehicles
Phil Magney, principal advisor, Vision Systems Intelligence LLC, USA
When is a system 'good enough'? Which scenarios should be tested until a system can be released? How many kilometers need to be driven to prove that a system is robust and failsafe? And should there be a retest of all scenarios after a hardware or software update? When developing L4 applications it is extremely important to create a library of scenarios and models to validate features. Scenarios and scenario models contribute not only to performance validation but also to system requirements. Furthermore, several non-functional and performance requirements are driven from use cases, which bring significant value in autonomous vehicle development. In this session, VSI examines the latest approaches for scenario mining as well as best practices for converting those into viable simulations.

11.30am - Innovative concepts for safely testing autonomous vehicles
Dr Mark Whorton, executive director, University of Tennessee Space Institute, USA
Integrating digital engineering approaches developed by DoD and NASA, a shift to an architecture-centric, model-based systems engineering/model-based engineering approach can: (1) Provide a quantifiable, incremental validation of safety and maintain constant digital connectivity between requirements, design, performance and safety requirements over the lifecycle; (2) Shift discovery of defects and emergent behaviors to the left in the development cycle, increasing safety and reducing time to market; (3) Support application of non-deterministic control and monitoring methods to ensure fail-safe operations during testing; (4) Apply deep-learning big data analytics to fleet operational performance to improve design, development and test processes.

12pm - Integrating autonomous vehicles requires high reliability of ADS systems
Ralph Buckingham, director - connected/autonomous technologies, Intertek Transportation Technologies, USA
The reliability and performance of components used to perform automated driving system functions has to be of the highest caliber to ensure the safe integration of autonomous vehicles with other road users. This presentation will cover current technologies being used to automate vehicles, known reliability/performance challenges, and testing processes that can be leveraged to improve reliability. Specific areas of focus will be radar/lidar/camera technologies, the current state of each technology as it pertains to design robustness/reliability/performance, and the testing methods that can be used to improve reliability: design validation/accelerated stress testing/failure analysis.

12.30pm - 1.30pm - Lunch

1.30pm - 6pm - Afternoon Session
Opal/Garnet Conference Room

Moderator
Nicholas Keel, group manager, automotive product management, National Instruments, USA

1.30pm - ADAS Analytics: Detection, Learning and Prevention
Honghao Tan, principal engineer, Harman International, USA
As ADAS systems evolve and the public debates the safety of autonomous driving, there is a need to validate safety features efficiently, identify any potential faults, and help upgrade vehicles accordingly throughout their life cycle. One such system is an ADAS analytics, which designs calibrated triggers to look for rare events in ADAS functions, gathering the appropriate data with minimum bandwidth during rare events, uploading it to a data center, and then automatically processing it. This approach enables continuous learning, sensing system improvements and rare event detection that adds robustness to the overall ADAS market required to support autonomous driving.

2pm - Designing sensor algorithms for the automobile environment
Tony Gioutsos, director, TASS International, USA
The difference between an automobile environment and other environments when designing an algorithm is substantial. When driving a vehicle at a high rate of speed, any error can produce tragic results. Because automobiles are expected to survive 15 years in all kinds of conditions, it is basically impossible to design sensor algorithms that are tested for all kinds of scenarios that could be encountered. In this paper, we outline a generic approach to designing sensor algorithms that are robust to the real world.

2.30pm - VeHiL real-time operating autonomous vehicle testbed
Prof Abdel Mayyas, assistant professor, Arizona State University, USA
Although model predictive control offers great promise to solve many energy and reliability problems in modern vehicles, transitioning from high to full autonomous driving across different contexts requires new creative methods for testing and validation. This work proposes a new deployment of the real-time operating connected vehicle testbed for VeHiL.

3pm - Signalized intersections prevent traveling from point A to point B legally
Brian Ceccarelli, principal engineer, Talus Software PLLC, USA
The implementation of signalized intersections makes it impossible for AV manufacturers to meet the requirement that vehicles shall travel from point A to point B legally and safely. There are five major defects in the physics of traffic signals that make it impossible for an AV to legally and safely navigate an intersection in all cases: 1) The universal application of special-case-only kinematic equation; 2) The use of the wrong initial velocity; 3) The misapplication of stochastic methods to human and vehicle factors; 4) The assumption that analytic solutions are physical solutions; 5) The omission of yellow light tolerance computations.

3.30pm - 4pm - Break

4pm - Validating advanced driver assistance systems using HiL test benches
Sean Wyatt, senior project engineer / program manager, engineering test solutions, ETAS Inc, USA
Hardware-in-the-loop (HiL) based testing methods offer the great advantage of validating components and systems at an early stage of the development cycle, and they are established in the automotive industry. When validating advanced driver assistance systems using HiL test benches, engineers face different barriers and conceptual difficulties: how to pipe simulated signals into multiple sensors including radar, ultrasonic, video or lidar; how to combine classical physical simulations, e.g. vehicle dynamics, with sophisticated three-dimensional, GPU-based environmental simulations. We discuss two categories: 1) Hardware level: communications structure; 2) Software level: providing data the UuT expects.

4.30pm - Smart center development and implementation of autonomous test environments
Ron Burton, VP laboratory business unit, Transportation Research Center Inc & SEA Ltd, USA
The presentation will give an introduction to the tools available to evaluate the safety and reliability of current and developing AV technologies. The tools provide a means to design, configure and execute test scenarios in a dynamic environment. This includes how objects are controlled and scheduled to move, as well as how they respond and react to other objects or triggers in the scenario. Objects such as traffic signals, soft targets, strikeable pedestrians and other unmanned vehicles can interact with a subject AV in defined scenarios to determine roadworthiness.

5pm - 6pm - Panel Discussion - How can we accelerate AV testing, while upholding stringent validation and robust safety measures?

Dr Shawn Kimmel, lead technologist, Booz Allen Hamilton, USA
Dr Edward Kraft, associate executive director for research, University of Tennessee Space Institute, USA
Brian Ceccarelli, principal engineer, Talus Software PLLC, USA
Tony Gioutsos, director, TASS International, USA
Prof Abdel Mayyas, assistant professor, Arizona State University, USA


Moderator:
Nicholas Keel, group manager, automotive product management, National Instruments

*This Programme may be subject to change.

Day 2

Thursday 26 October

9am - 12.30pm - Morning Session
Opal/Garnet Conference Room

Moderator
Paul Krutko, president and CEO, Ann Arbor SPARK, USA

9am - The use of physical validation space for autonomous vehicles
Paul Krutko, president and CEO, Ann Arbor SPARK, USA
This session will highlight the methodology utilized by purpose-built testing and validation centers, and the benefits of using this approach. Connected, automated and autonomous vehicle technology will change the level of safety on our roads. This technology has now been deployed on public roads, but further validation is needed to perfect the technology. The United States has designated 10 sites as proving grounds, based on the concept that there needs to be more attention dedicated to these efforts. Software-based testing used today is an important part of the validation scheme, but requires physical deployments to further validate.

9.30am - Automotive radar simulation for ADAS and autonomous driving
Dr Sandeep Sovani, director, global automotive industry, ANSYS, USA
Simulation is crucial in automotive radar development since it provides precise insights into real-life radar operation, at a fraction of the cost and time needed for physical field tests. High-fidelity physics-based simulation techniques such as an electromagnetic field solver and a shooting-bouncing rays solver are needed to provide results with real-life accuracy. Simulation of five aspects of radar development will be presented: (a) antenna design; (b) isolated radar simulation; (c) as-installed radar simulation; (d) in-environment radar simulation; (e) in-driving scenario radar simulation.

10am - Verifying functional safety and ISO 26262 in autonomous vehicles
Vince Socci, business development, real-time test HIL manager, National Instruments, USA
Functional safety is a preeminent requirement for automotive systems. Many methods typically used to verify functional safety assume deterministic software, comprehensive requirements-based testing, system simulation through HIL and fail-operational responses. Autonomous vehicle applications challenge system verification and validation to ISO 26262 guidelines, especially where comprehensive testing is impractical. This presentation will outline those challenges and define a framework for functional safety compliance using NI tools. Successful case studies will be highlighted.

10.30am - 11am - Break

11am - Cybersecurity for autonomous vehicles: problems and solutions
Dr Jeremy Straub, assistant professor, North Dakota State University, USA
This presentation provides an overview of the cybersecurity issues that currently face vehicles with limited autonomy as well as issues that will become more pronounced at higher vehicle autonomy levels. These issues are considered at both the individual vehicle and system-of-vehicles level. The efficacy of current cybersecurity techniques for responding to these problems is considered. Gaps that are not filled by conventional techniques are identified. Potential solutions for filling these gaps are suggested and a discussion of their feasibility and development pathway is presented. The use of intrusion detection systems as a catch-all for unexpected attack types is also discussed.

11.30am - Applying artificial intelligence to achieve safe Level 5 autonomy
Dominic Gallello, president and CEO, MSC Software, USA
We have a long journey ahead to move from current offline simulation methods to testing for cars driving completely without human intervention. There are still many challenges to be solved, much technology to be invented and many more orders of magnitude of simulations to be performed than what is currently being done today. The use of artificial intelligence is the key to making safe self-driving cars possible. In this session, Dominic Gallello will provide an overview of the basics of artificial intelligence and the development of perception and decision neural networks necessary to deliver autonomous driving with high confidence.

12pm - Taking autonomous testing to the virtual streets
Scott Harvey, co-founder, Civil Maps, USA
Testing autonomous vehicles is both resource and time intensive. Driverless vehicles must be prepared to travel in different environments, weather conditions and with an infinite combination of sensor technologies. Civil Maps, the Ford-funded cognition systems provider for autonomous vehicles, has created a solution to test autonomous cars in a virtual environment. Its Synthetics platform is a software offering that trains driverless cars in simulated, procedurally generated worlds.

12.30pm - 1.30pm - Lunch

1.30pm - 5pm - Afternoon Session
Opal/Garnet Conference Room

Moderator
Dr Sandeep Sovani, director, global automotive industry, ANSYS, USA

1.30pm - An overview of a rapid prototyping and testing platform for autonomous vehicle software developers
Joachim Fritzson, CEO, Zuragon Inc, SWEDEN
Over the past decade, autonomous driving technology has attracted considerable attention of the public, governments, the scientific community, and the industry around the world for enhancing driver safety and assistance. However, automakers and suppliers are having a difficult time to find experienced autonomous vehicle developers, because the academic institutions and programs are either slow to adapt or nonexistent. This presentation covers a smartphone-based field data logging system, a playback-based multiple sensors emulation system, an autonomous vehicle control software implementation system via in-vehicle network, and a driving simulation system for real-time vehicle dynamics and environmental sensors. The platform was used for training courses for autonomous vehicle software developers, and the results showed that the rapid prototyping and testing platform is effective in setting up a development environment and validating control software for an autonomous vehicle.

2pm - Virtual testing of traffic scenarios using real-world data
Kunal Patil, senior applications engineer, dSpace Inc, USA
This presentation will give an overview of how you can get the real world to your virtual test drives for testing of traffic scenarios. It will show how to use the dSPACE ASM tool chain to define road networks, and vehicle and traffic object movements for testing of autonomous driving features.

2.30pm - Deploying automated mobility services: revolution of the transportation ecosystem
Leemor Chandally, director of strategic partnerships, BestMile, USA
Although incredibly advanced, autonomous vehicles are not sufficient to offer a mobility service. Optimization has to take place at the fleet scale in order to create a coordinated and efficient mobility service. Like two pieces of the same puzzle, autonomous vehicles and fleet optimization platforms are complementary and form a sustainable, efficient and revolutionary autonomous transportation system. BestMile was the first company offering on-demand autonomous mobility services and is now enabling the first instances in which electric autonomous shuttles are circulating through city centers on pedestrian areas and open roads, and servicing the public on a daily basis.

3pm - In-vehicle measurement and calibration of ADAS ECUs
Jayesh Patel, application engineer, ETAS, USA
ADAS automate, adapt and enhance automobiles for safety and better driving. ADAS will become a component of autonomously driving vehicles. ADAS uses different sensors than those used in automotive controllers for powertrains and chassis control, e.g. cameras. Thus, ADAS calibration engineers will have to record video data in the test vehicle, and time-align it with data from traditional sensors as well as with data computed inside the ADAS controller. This presentation will show how to simultaneously measure and align real-time data generated by ADAS controllers with data from video cameras, and with continuous-time electric signals from other sensors.

3.30pm - 4pm - Break

4pm - 5pm - Panel Discussion - Virtual and simulation testing, working in hand with real world on-road mileage.
Here we discuss how the importance of both methods is a must to advance AV development and how data from each can assist the wider goal of safe AV deployment.
Paul Krutko, president and CEO, Ann Arbor SPARK, USA
Scott Harvey, co-founder, Civil Maps, USA
Vince Socci, business development, real-time test HIL manager, National Instruments, USA
Jayesh Patel, application engineer, ETAS, USA


Moderator:
Sandeep Sovani, director, global automotive industry, ANSYS

*This Programme may be subject to change.

 
 

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Topics under discussion:
  • Public road testing
  • Virtual testing
  • Simulation
  • Traffic scenario testing
  • Embedded software testing
  • Reliability testing of software and hardware systems
  • Safety and crash testing
  • Fail-safe testing
  • Cyber threat testing
  • Validation and verification
  • Autonomy software
  • VeHIL
  • V2V and V2X testing
  • Robotics
  • Testing legislation
  • Safety standards and legislation
  • Human factors and HMI testing
  • Case studies
  • Possibilities
  • Best practices