Over the course of the two days, the conference will address a number of key unresolved issues such as:
Ford Motor Company
Synopsis: 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.
senior principal engineer and the chief systems architect for automated driving solutions
Synopsis: 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.
Synopsis: 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.
Frans de Rooij
director business development
Synopsis: 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.
Synopsis: 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.
U.S.DOT Federal Highway Administration
Synopsis: CARMA monitors vehicle speeds to facilitate cooperative tactical maneuvers among all cooperative automated driving systems (CADS). CARMA is open source and easily shared and integrated. The Federal Highway Administration (FHWA) developed the innovative platform to encourage collaboration with the goal of improving transportation efficiency and safety through early adoption. CARMA will be released on GitHub for testing. The unique platform supports vehicle automation capabilities across multiple vehicles and vehicles types with security features. Beyond reducing traffic congestion and improving transportation safety, CARMA decreases the risk for application research and development (R&D), expands on existing automation capabilities and reduces R&D time.
director of product management, telematics
Harman, a Samsung company
Synopsis: 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.
director, automotive solutions and platforms
Synopsis: 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.
executive director, Automotive Grade Linux
The Linux Foundation
Synopsis: The race to roll out new technology features and autonomous vehicles continues to heat up. In order to compete at the speed of a tech company, many auto makers have shifted from traditional development processes to agile, rapid development through open-source software. Dan will provide an overview of AGL, key milestones and the project roadmap. He will also discuss AGL's vision for functional safety as well as for an open-source platform for autonomous driving that will help accelerate the development of self-driving technology while creating a sustainable ecosystem that can maintain it as it evolves over time.
business development manager - Americas Automotive
Synopsis: 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.
Synopsis: 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.
advanced development lead
Synopsis: 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.
Suburban Collection Showplace
46100 Grand River Ave
Novi, MI 48374
Tuesday 23 October
08:15hrs - 17:30hrs
Wednesday 24 October
09:00hrs - 17:30hrs
Thursday 25 October
09:00hrs - 17:30hrs