- 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
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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 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... -
- 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...
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- 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). ... -
- 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 methods to develop and test ADAS and automated driving systems are continuously evolving. Principles like ODD and scenario... -
- 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 presentation will show how dangerous a poisoning attack can be on a fictitious ADAS system. It will work... -
- 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...
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- 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 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.... -
- 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 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 2... -
- 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 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 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 2Advanced driver assistance systems (ADAS) present a uniquely challenging development environment: an open-world infinite problem space, combined with a...
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- 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 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 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 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 1Imagine a machine which ingests ADS real-world driving logs and simulation results and emits a safety evaluation with good...
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- 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.... -
- 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,...
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- 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 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 2Participants will learn how to specify the ODD in a machine readable and human interpretable fashion. Together, we will...
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- 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... -
- 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 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 2Simply ordering organizations to be agile, or to implement continuous integration practices does not automatically result in a product...