Stephanie Villegas Systems engineering - structured test lead Waymo LLC USA
When it comes to driving, experience is the best teacher. Waymo, the self-driving car unit owned by Google parent company Alphabet, has already driven over nine million miles on real-world roads since 2009. Its mission is to bring self-driving technology to the world, making it safe and easy for people and things to move around. Waymo believes its technology can improve mobility by giving people the freedom to travel, and save thousands of lives currently lost to traffic crashes. In this talk, Stephanie Villegas, who leads structured testing at Waymo, will introduce the company’s self-driving technology, talk through lessons learned from testing, explain Waymo's mission and vision, and touch on where the company is headed as it looks toward commercialization.
Transforming the transportation industry with cooperative automation research mobility applications
Dr Taylor Lochrane Technical manager U.S.DOT Federal Highway Administration USA
The Federal Highway Administration (FHWA) developed the innovative Cooperative Automation Research Mobility Applications (CARMA) platform to encourage collaboration with the goal of improving transportation efficiency and safety. FHWAs interest in advancing Transportation Systems Management and Operations (TSMO) strategies with automated driving technology focused on how the infrastructure can move traffic more efficiently. CARMA enables Automated Driving Systems (ADS) to facilitate cooperative tactical maneuvers with other vehicles and roadway infrastructure though communication. CARMA is designed using open-source software and will soon be released on GitHub. The unique platform is created to be vehicle and technology agnostic, and CARMA enables the research and development (R&D) of cooperative automated driving systems (CADS) capabilities to support TSMO. Beyond reducing traffic congestion and improving transportation safety, CARMA will support industry collaboration and expand on existing automation capabilities to reduce R&D time and advance automated vehicle (AV) technology
Measuring software performance of self-driving vehicles with scenario-based simulation
Shalin Mantri Product lead Uber ATG USA
In this talk we will discuss approaches to software performance measurement using scenario-based simulation. These approaches are intended to shed light on an industry-wide problem: the lack of a gold-standard 'driving test' for self-driving software. The presentation will cover: road-based performance metrics, scenario framework, the role of simulation in self-driving software, and a proposal for scenario-based metrics in simulation. Leveraging simulation as a validation method and aligning it with published scenario testing frameworks will accelerate the evaluation of mass-market self-driving vehicles.
10.30am - 11am
Responsibility Sensitive Safety
Jack Weast Sr. principal engineer, Intel & VP autonomous vehicle standards, Mobileye Intel Corporation USA
There is little argument that machines will be better drivers than humans. Yet there is very real risk that self-driving vehicles will never realize their life-saving potential if we can’t agree on standards for safety. We will explain how RSS provides specific and measurable parameters for the human concepts of responsibility and caution, and defines a 'safe state', where the autonomous vehicle cannot cause an accident, no matter what action is taken by other vehicles. We will also talk about how the industry can collaborate to help put these types of safety standards in place.
5G capacity will enable the car of the future
Roger Jollis Director of product management, telematics Harman, a Samsung company USA
By 2025, the number of connected things is expected to grow to 1 trillion. It is this deluge of new devices that will demand a paradigm shift in the network’s capacity to handle the devices and the data that will be generated by them. The technical requirements that necessitate a true generational shift from 4G to 5G are sub-1ms latency and downlink speed greater than 1Gbps. Smart, connected and autonomous driving will require a robust and omnipresent wireless network that has extensive coverage, high data transfer speeds, ultra-low latency and ultra-high reliability – qualities that can only be found in 5G.
Realising truly deployable autonomous systems using power-efficient high-performance computing platforms
Robert Day Director, automotive solutions and platforms Arm USA
As companies strive to build Level 3+ autonomous systems, they are realizing that the vast amount of compute power required to perform the autonomous functions is not really practical for mass production due to the size, power consumption and thermal properties of today’s computing platforms. This talk will investigate options to build more efficient autonomous vehicle compute platforms to conform to the strict power requirements required by EV and hybrid vehicles, while still delivering the necessary performance to manage the autonomous decision and action process.
12.30pm - 1.30pm
Software Development, AI and Machine Learning 1.30pm - 5pm
Tim Grocki Vice president Applied Intuition Inc USA
Using advanced simulation to test and train artificial intelligence algorithms
Tony Gioutsos Director Siemens USA
Training and testing artificial intelligence algorithms (deep learning neural networks) supplemented by synthetic simulated sensor data improves performance and adds to the testing approaches. The sensor models used include camera, radar and V2X, with appropriate segmentation. These models can be used to produce ROC (receiver operating characteristic) curves and other measures of detection and estimation system performance. Examples of the process are offered in this presentation.
Scenario-driven development - Paradigm for accelerating development and validation
Marc Mengler CEO understand.ai GERMANY
Definition and Motivation: What are scenarios and why do they matter? What different levels of scenarios exist?
How do scenarios fit into the different levels of autonomous vehicle development and validation?
Why does scenario-driven development accelerate the development and testing of autonomous vehicles?
Why is the completeness of the database of relevant traffic scenarios critical? When should we as an industry start extracting scenarios?
Safety-reinforced autonomous driving
Dr Edward Schwalb Lead scientist MSC Software USA
Safety is not an aftermarket feature. We present quantitative methods for baking in safety, and achieving reliable integrated drivers using unreliable AI components. We explain how to generate a library of scenarios as test cases so as to maximize coverage without an exponential blowup as the number of parameters increases. Finally, we discuss an approach for continuous integration capable of covering hundreds of millions of miles per hour.
3pm - 3.30pm
Qasar Younis Co-founder and CEO Applied Intuition Inc USA
3.30pm - 4.30pm
Panel Discussion - Accelerated Development to 'Level 4-5' AV's
As dozens of companies from Europe and China to Detroit and Silicon Valley look to build and deploy Level 4+ autonomous vehicles (AV's) in the coming years, many are looking to specialized horizontal software suppliers to accelerate their internal development process and time to market. This panel will feature executives from four such software companies, that are bridging the gap between the tech industry and the auto industry.
Ro Gupta CEO Carmera USA
Mohammad Musa Founder and CEO Deepen AI Inc USA
Tobenna Arodiogbu CEO Scotty Labs Inc USA
Moderators: Qasar Younis, co-founder and CEO, Applied Intuition Inc
Challenges on multi-sensor and ADAS-fusion-ECU measurement for ADAS Level 3-5
Christian Kirschenlohr Manager field application engineering Vector Informatik GmbH GERMANY
The presentation shows the challenges and solutions for a complete ADAS logging approach. This includes: multichannel vehicle bus logging – CAN-FD, FlexRay, LIN, Auto-Ethernet; radar measurement technology for raw data as well as object data; high-end fusion ECU measurement with multi uC + uP architecture based on AUTOSAR and AUTOSAR adaptive operating systems; multiple vehicle and reference camera measurement; other sensors such as Laserscanner, Ultrasonic and GPS. The unique solution covers two use cases: 'engineer mode' with full graphical object overlay display, and 'taxi driver mode'.
Level 2+ autonomous vehicles require a fusion of perception sensors (lidar, camera, radar) and absolute position sensors (GNSS, map, IMU) for safe operation. This presentation will explain how GM performs QA activities and pre-production validation of GNSS and map accuracy.
Taking automated driving to the next level with HD maps
Dr Frans de Rooij Director business development TomTom USA
Vehicle sensors, such as cameras and radar, have powered the introduction of advanced driver assistance systems. They need to be combined with a high-definition map (HD map) to make higher levels of driving automation safe and comfortable. We will discuss how the data layers from TomTom’s HD map are correlated with vehicle sensor data to enable accurate localization, environment perception and path planning. We will also show how the sensor-derived observations ('Roadagrams') contribute to keeping the HD map up to date, and how the updated map is streamed to the vehicle.
Toward Vast Scale Virtual Validation - High Fidelity Road Database for Simulations
Dr Henning Lategahn CEO Atlatec GmbH GERMANY
ADAS Simulations will allow to simulate autonomous driving of millions of miles per day. This is largely considered a prerequisite to validate autonomous vehicles and simulation vendors tailor their software to that end. Realistic content for simulations, however, is cumbersome to source and no database of real scenarios is available. We will present how to efficiently source 3D map data and real driving scenarios for use in simulations and introduce our database of thousands of kilometers road length. This database is captured in different automotive hot spots and contains centimeter-accurate digital twins of road networks. These can be used as content in simulations.
10.30am - 11am
Dr Mark McCord Co-founder and VP of engineering Cepton Technologies Inc USA
Autonomous vehicles (AVs) will revolutionize transportation around the world. Attendees will learn why high-resolution, low-cost lidar is key to mass deployment of AVs around the world in a safe and cost-effective manner. They will also learn about new advances in 3D lidar sensing technology and its application in AVs. This talk will focus on the new development in Cepton’s lidar technology and the future technology roadmap. And how Cepton’s high-performance Vista lidar’s long range and resolution help with object detection and perception in challenging environments, enabled by the computing power of GPUs.
Sensor HIL testing based on raw camera and radar data – the next challenge?
Alexander Noack Head of automotive electronics b-plus GmbH GERMANY
Multiple cognitive sensor sources such as cameras, radar and lidar are used for autonomous driving functions as input data for the domain controllers. Testing those sensors in HIL environments is one of the major trends in virtual testing and increases the requirements for the whole testing and validation scenario. The most critical topic in HIL testing is the exact time synchronisation mechanisms from logging the data in real test drives through post-processing to exact replay. This presentation focuses on the challenges of sensor HIL testing and the methodology for measurement data management in the domain controller environment.
Integration of solid-state lidar: best practices for superior object detection
Kris De Meester VP sales and business development XenomatiX BELGIUM
Technology choices for automotive lidar have to be based on how and where the lidar units can be integrated in vehicles. This integration has an impact on the lidar technology as well as the vehicle itself. As the need for reliable solid-state lidar systems continues to grow, considerations about sensor placement and ways to achieve reliable detection receive the automotive attention. Although test vehicles often still have externally mounted lidar systems, mass-production vehicles are in need of lidar technology that can be nicely incorporated in the vehicle. This presentation will report the outcome from cooperations between XenomatiX and Tier 1 partners.
12.30pm - 1.30pm
Customized sensor test for autonomous driving with sensor fusion HIL
Ram Mirwani Director, global business development, ADAS Konrad Technologies USA
As automotive sensors increase in design complexity to deliver multiple capabilities, their test routines have evolved to complex test protocols in order to verify functional performance of the sensors. Radar, lidar and camera sensor technologies form a quintessential part of an autonomous vehicle mapping its environment before deciding on required actions. The combined use of scenario-based testing and measurements can effectively verify functional performance of the sensors in their application use case environment or conditions. In this session, we will share details of how the ADAS iiT sensor fusion HIL test method can address this evolving need.
Shifting next-generation radar into high gear
Ram Machness VP product Arbe Robotics ISRAEL
Using high-resolution radar for autonomous driving poses new challenges and brings new opportunities in the mapping of the environment, including the tracking of other cars and pedestrians, and localizing the self-driving car within its environment. Oz will discuss the role of advanced algorithms with next-generation radar, which senses the road with both an ultra-high resolution and a wide field of view. He will focus on how post-processing and SLAM algorithms can help resolve ambiguities and achieve low false alarm rates.
Reliable lane keeping and platooning for automated road transportation
Surya Satyavolu President and CEO Sirab Technologies Inc USA
Although many autonomous vehicle approaches are being pursued globally, 'safety assurance' with highly reliable guidance systems is still a key challenge. The Sirab team, with core expertise in building safety- and security-critical systems for aviation, is trying to solve this challenge with our unique patented approach that can support in the deployment of a platooned convoy of commercial vehicles at high speed to improve safety, capacity and operational efficiency of road transportation systems. Our core technology consists of a highly reliable guidance system using radar and a modular architecture for lane keeping and platooning, enabling solutions with safety assurance.
3pm - 3.30pm
Best Practices 3.30pm - 5.30pm
Nic Fasci Head of ATEEL UK ATEEL UK Ltd UK
Who programs the programmer?
Nic Fasci Head of ATEEL UK ATEEL UK Ltd UK
The world is focused and committed to the deployment of automated vehicles. However, are the people with the 1s and 0s the right people to be developing and evolving the algorithms for the vehicles? How can we be sure that the standard of driver training is adequate so that no 'gremlins' or bad habits are installed from the outset during the test and development phase? The end goal is Level 5, but humans are still key to the success of automated vehicles. If we get this wrong, the whole concept will be set back years.
The status of ADAS in the race to automation
Eric Meloche Research engineer Transport Canada CANADA
Although there is little to no doubt that full automation will ultimately be a reality, we must ensure that its deployment occurs in a safe and responsible way. From a regulator’s perspective, safety should always remain the paramount priority. As ADAS are leading the way and becoming the norm, we should also ensure that marketing does not mislead consumers and that the limitations of various systems be communicated clearly. The results of an in-depth analysis of key ADAS features from 30 commercial systems will be presented, and the main safety benefits and concerns associated with partial automation will be discussed.
Autonomous driving test between the two biggest cities in Japan
Dr Yoshiyuki Usami Associate professor Kanagawa University, Japan JAPAN
We have tested Comma.ai’s autonomous driving system during a round trip from Tokyo to Osaka, which are the two biggest cities in Japan. We drove successfully for nine hours on the outward journey, but experienced two system failures during the return journey. This was caused by transforming analog car data to digital data through a USB interface. Except for this point, the present system is reliable on driving one lane of Japanese highway. We will publish multi-camera recoding data from this monumental 18 hours of driving. A remaining problem is to build a system that can manage branching and merging of lanes.
How to prepare smart mobility testbeds for automated driving certification
Dr Joachim Taiber CTO International Transportation Innovation Center USA
Sean J Kelley Senior vice president Mannik & Smith Group USA
The world of transportation is rapidly changing through digitization, leading to a portfolio of smart and sustainable mobility services from which the user can choose on demand and – due to full automation – without the need to be able to drive a vehicle. How those multi-modal mobility services interact with each other and with the supporting infrastructure has to be validated in cyberphysical testbeds in smart city environments to determine the operational safety and security risk level. This presentation will discuss design criteria for closed and open testbeds that could support a certification process for automated driving.
Day 3: Thursday 25 October
Test, Verification & Validation 9am - 12.30pm
Nicholas Keel Group manager, automotive product management National Instruments USA
Robust verification of autonomous capability for commercial vehicles
Yong Sun Supervisor Isuzu Technical Center of America Inc USA
Global deployment of autonomous capability for commercial vehicles is a big challenge. In order to improve the robustness of autonomous approach under different traffic scenarios, environments, road conditions and driver behavior, a combined approach of physical testing, simulation, HIL and on-road testing has been established for sensors (camera, radar, etc.) and algorithm verification. Virtual testing is employed to reduce dangerous moving-target physical tests; a conversion method has been developed to utilize databases from different resources; machine learning is used to identify the worst-case scenario in the combined database.
Accelerating the path to safe autonomy
Victor Gonzalez Founder and CEO Anyverse SPAIN
Building safe autonomous vehicles demands extremely robust learning/testing processes. Today’s training and testing of autonomous systems in real-world environments is very costly and potentially biased to predefined fixed scenarios. Custom computer-generated scenarios enhance the ability to train systems for challenging cases rarely encountered in controlled real-world environments. High-fidelity synthetic datasets are capable of delivering massive machine-generated datasets for the training and testing processes of autonomous vehicles at a much lower overall cost.
What to do about the next 500 fatal AV crashes
Yoav Hollander Founder and CTO Foretellix ISRAEL
The presentation discusses and analyzes the current status of AV verification, using recent examples. It analyzes challenges to eventual deployment, noting that we can expect many fatal AV accidents. It then suggests that a comprehensive, transparent verification system could help solve this inevitable tension. Finally, it describes principles of verification using a scenario-based, coverage-driven methodology.
10.25am - 10.55am
Developing automated vehicles: methods for improving safety and performance
Phil Magney Founder and principal VSI Labs USA
Developing automated vehicles that work well 99% of the time is relatively straightforward. But developing automated vehicles that work 99.99% of the time is an order of magnitude more challenging. Recent accidents point to the need for heightened safety and redundancy to cope better with edge cases not normally encountered. In this session, VSI will discuss the latest trends toward improving the safety and performance of automated vehicle solutions.
Vehicle control by wire: the hidden foundation of AV development
David Agnew business development Dataspeed USA
As with robots in general, automated vehicles are enabled by automated sensing, thinking and acting, with the 'taking action' part being motor control. For an AV test and development vehicle, motor control of the steering, accelerating, braking and shifting can be achieved with various solutions, none of them trivial. Taking into account the vehicle R&D mission, phase of development and safety requirements, Dataspeed will present an effective approach currently used by hundreds of engineering companies around the world.
ADAS testing advanced: 6D target mover
Dierk Arp Executive director Messring Systembau MSG GmbH GERMANY
Pedestrians and cyclists account for a significant proportion of road deaths worldwide. Current ADAS test systems are tackling this challenge, but are limited in their design to linear or two-dimensional motion. With this setup, particularly during acceleration processes, an unrealistic motion is generated. The concept of hanging dummies from above creates new possibilities for more life-like dummy trajectories using six degrees of freedom. The system sets new standards in precision and repeatability through the ability to reproduce real-life human motion sequences and imitate them realistically – for example, based on data from a motion capture system.
12.25pm - 12.25pm
Validation in the Virtual Domain 1.30pm - 5pm
Nic Fasci Head of ATEEL UK ATEEL UK Ltd UK
Powertrain and chassis hardware-in-the-loop (HIL) simulation of an autonomous vehicle platform
Adit Joshi Research engineer Ford Motor Company USA
The automotive industry is heading toward the path of autonomy with the development of autonomous vehicles. As in-vehicle testing for autonomous vehicles will be considered expensive, time-consuming and unsafe due to the number of scenarios and driven kilometers required for validation, a simulation platform that can provide a controlled and consistent testing environment is required for rapid prototyping and testing of the autonomous vehicle. This paper focuses on a powertrain and chassis hardware-in-the-loop (HIL) simulation of the autonomous vehicle platform and the correlation of the performance of the corresponding subsystems with those of the actual autonomous vehicle.
A HIL testing approach for autonomous vehicle controls
Vince Socci Business development manager - Americas Automotive National Instruments USA
Autonomous vehicles require complex controls that must be proved to be safe and reliable. From ADAS interfaces to ride-sharing applications, performance requirements are ever increasing. A test workflow to verify designs must be quick to implement, operationally effective, and comprehensive in quality and performance. A hardware-in-the-loop test workflow provides the efficiency of simulation with the completeness of performance testing in a practical test budget and schedule. This presentation provides an overview of the test needs and demonstrates a HIL verification workflow to satisfy them. The audience will learn a simple approach to test autonomous vehicle controls.
Sensor simulation: key to autonomous driving development
Kunal Patil Senior applications engineer dSPACE Inc USA
Different virtual validation use cases require different sensor models. Accuracy, simulation performance and usability play major roles. This presentation will give an overview of the different dSPACE solutions for sensor simulations. In this presentation you will learn: how to speed up simulations using ASM (Automotive Simulation Models) ground truth sensor simulations; how to generate raw data streams for environment sensor simulations such as camera, radar and lidar sensors using GPU-based sensor models in MotionDesk; new solutions for HIL testing of highly automotive driving features involving radar, camera, etc.
3pm - 3.30pm
A scalable development and test platform for accelerating autonomous driving
Dr Joonwoo Son Principal research engineer & CEO DGIST & Sonnet.AI KOREA
To save time and avoid earlier mistakes, it is not only the so-called 'stack' that is of importance, but also a development platform and methodology to keep things together and work with already certified components that carry mileage accumulation. In this presentation Dr Son elaborates on the results from his projects in Korea and how development time can be reduced using proven tools and methodologies.
Autonomous vehicle simulation improves performance and saves lives
Jeff Blackburn Head of business development Metamoto USA
Traditional automotive testing tools are not up to the task of, or able to scale to, the level needed to satisfy safety requirements for autonomous vehicles (AVs). Simulation that encapsulates mature, agile software engineering approaches, especially those involving continuous test and integration, provide a proven way forward. These approaches provide endless miles of virtual testing needed for validation in a single cycle, outpacing physical testing by an order of magnitude. Attendees will learn about current safety regulations for AVs, general AV testing best practices/methodologies and novel AV simulation approaches that have the potential to satisfy auto makers, policymakers and consumers alike.
Hybrid simulation for AV/ADAS test and development
Dr Craig Shankwitz Principal R&D engineer MTS Systems Corporation USA
Conducting AV/ADAS testing on public roadways is highly problematic in terms of safety and repeatability. Simulation presents a safe and repeatable alternative, yet falls short in capturing the subtleties of real driving scenarios. To overcome these challenges, MTS is combining virtual and physical elements – models, physical components, sensors and humans – into hybrid simulation environments, bringing new levels of safety, repeatability, fidelity and efficiency to vehicle development. This presentation explores the application of hybrid simulation for AV/ADAS test and development, covering conceptual models, the blending of virtual and physical, repurposing existing machines and models, and product validation and verification.
Connected Technology, Data Management and Cybersecurity 9am - 4pm
Chris Reeves Head of Connected & Autonmous Vehicles Horiba Mira Ltd UK
Mobility messages and negotiation using cooperative automation research mobility applications
John Stark Chief software engineer Leidos USA
The Federal Highway Administration (FHWA) conducts research in connected, automated vehicle operations. CARMA is a reusable and extensible vehicle control middleware that provides an API enabling researchers to easily test various vehicle guidance algorithms, and supporting vehicle-to-vehicle and vehicle-to-infrastructure interactions. CARMA facilitates cooperative automation. These behaviors involve negotiation between vehicles to safely achieve workable solutions for spatial conflicts. FHWA has defined a new set of dedicated short-range communications mobility message types, extending SAE J2735 to support negotiation between vehicles about future intentions. Our goal is to see these new message types included in a future version of the J2735 standard.
Time-sensitive networking (TSN) in autonomous driving
Jeff Warra Senior marketing technical engineer Spirent Communications PLC USA
Time sensitive networking protocols and applications are the enabler for using real-time functionalities in different industries based on Ethernet/IP networks. For the automotive world, TSN will help to implement driver assistance and autonomous functions into next-generation vehicles. This presentation illustrates use cases of time-sensitive networking in vehicles; it includes ways to validate network components like ECUs and end devices such as cameras and sensors as well as software applications using this technology. Delegates will hear how autonomous vehicles act like data centers and learn how to avoid safety issues based on malfunctions or cybersecurity attacks.
Automated cybersecurity testing for automotive applications
Sumeet Chhawri Project engineer cybersecurity FEV USA
Autonomous driving, ADAS and connected vehicle applications have flooded the vehicle with features, exponentially increasing the attack vectors in the vehicle and the need to test them. Autonomous enablers such as cameras and connectivity enablers such as wi-fi or Bluetooth can be tested at a component level with dedicated security bench setups. The challenge is to test for security at a system level as opposed to only component-level security testing. A simplified approach includes identifying vulnerabilities, reducing risk by resolving threats from the identified vulnerabilities, and validating the existence or non-existence of known and unknown vulnerabilities within the target system.
10.30am - 11am
Connecting and securing the IIoT’s autonomous systems
Bert Farabaugh Director of field applications engineering Real-Time Innovations (RTI) USA
Autonomous vehicles are the most disruptive change in automotive history. Car companies are scrambling to keep up with the investment and technology requirements, but the future is still unclear. How will this technology be deployed? When? By whom? There is no common accepted standard, no dominant platform and many unanswered technical questions around safety and security. Without solving these challenges, we cannot have a robust industry ecosystem. Who will save us from this confusion and indecision? Enter the DDS Standard. The industry needs a common framework that can meet the performance, safety and security requirements necessary for Level 4.
Assurance of autonomous vehicles with authentic data recordings
Bernhard Kockoth Advanced development lead ViGEM GmbH GERMANY
Autonomous driving Levels 3-5 are based on a growing number of safety-related systems that must be secured with millions of kilometres. All vehicle bus communications and raw data from sensors, cameras, lidar and radar, as well as status data like weather and actual maps must be recorded, authentically. An eight-hour test drive easily produces 4TB of data, if not 20-100TB. The data must then be fed to data centers without causing long pauses in vehicle testing. The enormous amount of data becomes a challenge for measurement equipment in automotive environments. This presentation shows new developments.
The connected vehicle infrastructure – cybersecurity in a complex socio-technical system
Peter Davies Director, security concepts Thales e-Security UK
Connected and autonomous cars are part of a price-sensitive, worldwide and mobile system yielding benefits at scale, which is hyper-connected, bottom-up, with emergent properties for which there is no guiding mind. This presentation will focus on implications for legal, insurance and public policy; existing technical and standardization approaches and their ability to deliver desired outcomes of resilience and survivability; future avenues for exploration. The underpinning thesis is that the benefits of the system of which connected and autonomous cars are a part will be of such importance to society that they cannot be allowed to fail catastrophically.
12.30pm - 1.30pm
Stakeholder considerations for CAV testing on a managed lane facility
Michael McConnell Junior software engineer Leidos USA
Cooperative automation has the ability to improve highway capacity and traffic flow. This has been demonstrated in simulation for a managed lane scenario with access limitations (i.e. lanes open to CAVs and connected vehicles only), as might be expected for early deployment on managed lanes. These applications were then tested on a real managed lane to confirm those benefits. The cooperation between multiple stakeholders with different operational objectives made this testing successful. This will be a review of the inception, planning, execution and special considerations of testing on this public facility and potential early deployment area.
Autonomous vehicle adoption: from user acceptance to safety requirements
Dr Stéphane Gervais Executive vice president strategic innovation Lacroix Group FRANCE
What are the challenges and some solutions for user (citizens and cities) adoption of autonomous public transportation? What are some key topics about safety and how to address them? Based on experimentations in Europe with government and counties, such as SCOOP, OPERA projects and autonomous shuttle in Nantes city, we will review these challenges and some tested solutions. Topics such cybersecurity, the role of infrastructure for safety, proactive information from sensor through V2X, and best practices for adoption by citizens and cities will be addressed, supported by real-life examples. The purpose is to enrich rules and regulations with facts.
2.30pm - 4pm
Panel Discussion - Why CAVs will fail without collaboration within and across borders
Collaboration is commonly promoted as the key to overcoming the complex problems emerging for self-driving vehicle systems and services. But it is easier said than done, requiring significant amounts of time and effort to achieve, with some hard lessons along the way. The UK has a strong reputation for effective collaboration and this cross-sector panel will focus on the challenges achieving successful collaborations at various scales and across various sectors, drawing on their mixed experiences shaping the fast-changing future of mobility.
Dr Yee Mun Lee Research fellow University of Leeds, Institute for Transport Studies UK
Dr Daniel Ruiz CEO Meridian UK
Neil Fulton Programme director for connected and automated transport Transport Systems Catapult UK
Alex Bevan Chief engineer Oxbotica UK
Moderators: David Hamson, deputy head, Centre for Connected and Autonomous Vehicles (CCAV)
Please Note: This conference programme may be subject to change