Blog

The development of robust operational and testing strategies is critical to ensure the safety, reliability, and scalability of AD systems. This talk provides an overview of the latest methodologies and technologies being implemented to test and validate AVs and emphasizes how these strategies are crucial for the successful deployment of AVs in diverse and unpredictableRead more

This presentation provides a comprehensive review of the use cases for short-range LiDAR within AVs, focusing on the performance requirements and assessment methodologies essential for optimal functionality. We delve into specific solutions designed for both robotaxi and retail vehicle applications, highlighting the unique integration challenges posed by different vehicle types. The discussion includes an evaluationRead more

Sensor systems play a critical role in ensuring safety, reliability, and performance within AVs. This talk deep dives into the intricacies of designing and implementing advanced camera systems for autonomous driving platforms. By leveraging innovative technologies and groundbreaking design principles, Waymo has developed robust camera solutions that enhance vehicle perception and decision-making capabilities. The sessionRead more

How effective are simulations in replicating real-world scenarios for AV testing? What standardized testing protocols are needed to ensure AV safety across regions? How can we address challenges in integrating AVs into mixed-traffic environments? What strategies should be used for ongoing testing and validation after AV deployment? How can we best manage the data generatedRead more

The development of autonomous vehicles presents the automotive industry with numerous challenges related to safety and functionality. Key issues include the definition of functions, safety evaluation of AI/ML systems, and addressing systematic faults, particularly in the context of safety concepts such as SOTIF. These concerns are heightened by gaps in addressing hazardous known and unknownRead more

The right data and visual AI development processes are the difference between getting your AI models on the road or stuck going nowhere in R&D. Your ML teams are spending an average of 40% of their time wrangling data – without understanding its implication in model performance. But how do you connect your data and your models?Read more

Access to real-world data at scale is the key to solving the toughest challenges in autonomous vehicle development. By harnessing crowdsourced driving data, we can accelerate AV safety, testing, and validation, bringing us closer to mass-market adoption. This session explores how crowdsourced data enhances sensor fusion, improves HD mapping, and provides real-time insights that helpRead more

As autonomous driving technologies continue to evolve, ensuring the safety and reliability of Level 3 and Level 4 autonomous vehicles becomes crucial. The presentation addresses some of the main challenges, critical aspects and best solution approaches to the complex of V&V specific to these advanced automation levels. In this session, you will learn more about:Read more

There are many stages between our current technology for Advanced Driving Assistance Systems and getting to full autonomy. While we all understand that thorough safety measures need to be put in place for fully autonomous vehicles, we also need to implement safety within the intermediate steps toward full autonomy. We will discuss the critical componentsRead more

Designing the next generation of ADAS and bringing it to market comes with many challenges. Whether you are managing architectural complexity, adopting new technology or deciding where and when to introduce advanced functionality in the vehicle, memory and storage technology will be central to those strategies. Ever since the introduction of semiconductors, electronics have played aRead more