- Safely deploying ADAS and autonomous vehicle technologies – challenges and innovations
- Standards, regulations and legal issues
- Developments in AI, architecture and software
- Safety innovations and best practices for their development and deployment
- Real-world, proving ground and integrated virtual testing
- Developments in ODDs and scenarios, simulation, validation and in-the-loop testing
- Developments in AI, architecture and software – continued
Safely deploying ADAS and autonomous vehicle technologies – challenges and innovations
9am - 12.25pm
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- Safely deploying ADAS and autonomous vehicle technologies – challenges and innovations
Room 1... -
- Safely deploying ADAS and autonomous vehicle technologies – challenges and innovations
Room 1... -
- Safely deploying ADAS and autonomous vehicle technologies – challenges and innovations
Room 1The Cooperative Driving Automation Phase II project implemented a hierarchical controller integrating a cloud-based speed planner with onboard driving... -
- Safely deploying ADAS and autonomous vehicle technologies – challenges and innovations
Room 1... -
- Safely deploying ADAS and autonomous vehicle technologies – challenges and innovations
Room 1Removing the human driver fundamentally changes what we actually mean by acceptable safety. A simplistic 'safer than human driver'... -
- Safely deploying ADAS and autonomous vehicle technologies – challenges and innovations
Room 1...
Standards, regulations and legal issues
2pm - 5pm
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- Standards, regulations and legal issues
Room 1... -
- Standards, regulations and legal issues
Room 1This session explores the evolving legal landscape for connected vehicle data, addressing privacy risks (e.g. biometrics, geolocation), cybersecurity threats... -
- Standards, regulations and legal issues
Room 1This presentation introduces the concept of blocked force in NVH testing, a key metric representing the vibratory force a... -
- Standards, regulations and legal issues
Room 1The methods to develop and test ADAS and automated driving systems are continuously evolving. Principles like ODD and scenario... -
- Standards, regulations and legal issues
Room 1The presentation will show how dangerous a poisoning attack can be on a fictitious ADAS system. It will work... -
- Standards, regulations and legal issues
Room 1For almost a decade, states and the federal government have struggled to craft a regulatory framework tailored to AVs.... -
- Standards, regulations and legal issues
Room 1The presentation will provide an overview of California's framework for regulating automated driving systems (SAE Level 3-4). ...
Developments in AI, architecture and software
9am - 5pm
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- Developments in AI, architecture and software
Room 2Wayve pioneered an embodied, end-to-end AI driving system – moving beyond traditional AV stacks that depend on HD maps... -
- Developments in AI, architecture and software
Room 2... -
- Developments in AI, architecture and software
Room 2... -
- Developments in AI, architecture and software
Room 2... -
- Developments in AI, architecture and software
Room 22025 marks a turning point for autonomous trucking, moving from years of R&D into real-world commercial deployment. This talk... -
- Developments in AI, architecture and software
Room 2As autonomous systems become increasingly complex, the industry must validate their behaviors with determinism while scaling software development across... -
- Developments in AI, architecture and software
Room 2This technical session offers a deep dive into the deployment and optimization of AI models powering autonomous driving systems.... -
- Developments in AI, architecture and software
Room 2We have a once in a generation opportunity to incorporate GenAI capabilities into ADAS workloads and achieve outsized productivity... -
- Developments in AI, architecture and software
Room 2Autonomous vehicle (AV) ML systems demand infrastructure that can handle real-time perception, high-throughput data and latency-critical workloads. While model... -
- Developments in AI, architecture and software
Room 2From ChatGPT to generative world model for autonomous driving (AD), data for AI model training must be high performance,... -
- Developments in AI, architecture and software
Room 2As the automotive industry transitions toward increasingly autonomous capabilities, machine learning (ML) is becoming foundational in enabling perception, decision-making... -
- Developments in AI, architecture and software
Room 2As vehicles and critical systems become increasingly software driven, ensuring uncompromising safety is paramount. This presentation explores the evolving... -
- Developments in AI, architecture and software
Room 2Advanced driver assistance systems (ADAS) present a uniquely challenging development environment: an open-world infinite problem space, combined with a... -
- Developments in AI, architecture and software
Room 2This presentation explores the transformative role of artificial intelligence (AI) in advanced driver assistance systems (ADAS) and automated driving... -
- Developments in AI, architecture and software
Room 2Bridging the gap between research and current development in ADAS involves translating cutting-edge research findings into practical, scalable solutions....
Safety innovations and best practices for their development and deployment
9am - 2.10pm
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- Safety innovations and best practices for their development and deployment
Room 1In the coming decade we will see widespread adoption of autonomous vehicles on the roads. Although this has been... -
- Safety innovations and best practices for their development and deployment
Room 1... -
- Safety innovations and best practices for their development and deployment
Room 1Waymo has years of experience operating a fully autonomous fleet across multiple cities in the United States. The promises... -
- Safety innovations and best practices for their development and deployment
Room 1... -
- Safety innovations and best practices for their development and deployment
Room 1Autonomous driving demands rigorous, evidence-based safety assurance, especially as programs advance from R&D into real-world deployment. An autonomous vehicle... -
- Safety innovations and best practices for their development and deployment
Room 1The AV landscape is rapidly evolving, presenting new complexities that demand robust, safe and secure software systems. The presentation... -
- Safety innovations and best practices for their development and deployment
Room 1As autonomous vehicles move from pilots to real-world deployment, the missing link remains: high-definition, real-time location intelligence that adapts... -
- Safety innovations and best practices for their development and deployment
Room 1Imagine a machine which ingests ADS real-world driving logs and simulation results and emits a safety evaluation with good...
Real-world, proving ground and integrated virtual testing
2.10pm - 4.30pm
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- Real-world, proving ground and integrated virtual testing
Room 1Between NCAP, FMVSS, and other test procedures, there is no lack of structured ways to assess ADAS/ADS performance. However,... -
- Real-world, proving ground and integrated virtual testing
Room 1Lidar remains underutilized in ADAS, but China is changing that – with 150+ production models already equipped. Driven by... -
- Real-world, proving ground and integrated virtual testing
Room 1Since launching its first commercial autonomous mobility service in 2021, Sonnet.AI has expanded operations across diverse cities in Korea,... -
- Real-world, proving ground and integrated virtual testing
Room 1More than an automated vehicle proving ground, GoMentum Station (GMS) is the nexus of an automated vehicle safety ecosystem.... -
- Real-world, proving ground and integrated virtual testing
Room 1This presentation examines the critical role of traffic rule compliance assessment in the approval and authorization of automated driving....
Developments in ODDs and scenarios, simulation, validation and in-the-loop testing
9am - 12.25pm
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- Developments in ODDs and scenarios, simulation, validation and in-the-loop testing
Room 2As Level 3 ADAS functions continue to dominate vehicle roadmaps in the short term, testing ADAS functions adequately is... -
- Developments in ODDs and scenarios, simulation, validation and in-the-loop testing
Room 2As ADAS-equipped vehicles begin to incorporate higher levels of automation, having a robust understanding of the sensors that enable... -
- Developments in ODDs and scenarios, simulation, validation and in-the-loop testing
Room 22025 has the potential of being a pivotal year for the automated vehicle ecosystem, with various large-scale deployments in... -
- Developments in ODDs and scenarios, simulation, validation and in-the-loop testing
Room 2OpenX standards, including OpenSCENARIO, OpenDRIVE, and OSI, enhance automated vehicle validation by fostering collaboration and openness. These standards allow... -
- Developments in ODDs and scenarios, simulation, validation and in-the-loop testing
Room 2Participants will learn how to specify the ODD in a machine readable and human interpretable fashion. Together, we will...
Developments in AI, architecture and software – continued
1.45pm - 4.30pm
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- Developments in AI, architecture and software – continued
Room 2Simply ordering organizations to be agile, or to implement continuous integration practices does not automatically result in a product... -
- Developments in AI, architecture and software – continued
Room 2The presentation will address the test challenges of multidrop 10BASE-T1S network implementation and securing the network with MACsec (802.1AE)... -
- Developments in AI, architecture and software – continued
Room 2The use of AI/ML is rapidly expanding across safety-critical sectors, including automotive. However, its non-deterministic nature challenges traditional functional... -
- Developments in AI, architecture and software – continued
Room 2The proliferation of diverse software systems within modern vehicles introduces critical interoperability problems from incompatible protocols, standards and data...