Blog

As vehicle sensing, computational, and assistance systems advance, supporting driver attention in real-time across a range of operating contexts is crucial. Traditional distraction mitigation approaches and design guidelines have not evolved with vehicle technology and the growing research on driver attention management. The AHEAD consortium, an academic-industry partnership led by MIT, is pioneering the developmentRead more

Join Kognic and Kodiak as they discuss their joint efforts to build a market-leading perception stack for commercial trucking. Isak and Derek, both key stakeholders at Kognic and Kodiak, are responsible for the end-to-end journey from dataset capture and annotation of sensor-fusion to model output for Kodiak’s development, production and validation missions. In this session,Read more

Life-saving cooperative and connected V2X technology has been invented, standardized, and tested. And yet, mass deployment always seems to be a tantalizing few years away. The fault is not with the technology, and certainly not with the societal benefits of preventing roadway injuries and deaths. The complexity lies between the major stakeholders: as the first vehicularRead more

Autonomous driving technology faces critical challenges in ensuring safety and reliability, especially in unpredictable real-world situations. Simulation-driven testing has emerged as a powerful tool to address these challenges by enabling the validation of autonomous systems across a wide range of scenarios. This session will highlight the importance of scenario-based safety evaluations and explore the roleRead more

NuroDriver is a state-of-the-art AI-powered autonomous driving system engineered to operate seamlessly on any road and for any type of ride. It combines advanced sensor fusion, adaptive AI algorithms, and situational awareness to deliver a robust and reliable autonomous driving experience. Through real-world use cases and technical insights, it will be showcased how NuroDriver navigatesRead more

What tests provide convincing evidence that AVs are safe enough to operate independently on public streets? Internationally utilized standards like ISO 21448, UL 4600, and ISO 26262 prescribe evaluation of risk in order to define acceptance criteria for validation and field monitoring. This presentation offers the Streetscope Collision Hazard Measure (SHM) as a leading indicatorRead more

The presentation will address both the latest AD technologies as well as their practical value and use with regard to different go-to-market models for autonomous vehicles. It will also highlight the most important ODD aspects crucial for AV market entry by analyzing how ODD, based on use cases, influences the speed of AV deployment. InRead more

The shift from hardware to software within the automotive industry is redefining how vehicles are developed, maintained, and enhanced. With software now taking center stage, it’s crucial to understand the full scope of this transformation and its impact. One of the most critical questions facing developers today is whether Open Source software should be consideredRead more

In the real world, countless variables affect road conditions, including weather, lighting, traffic, and rare road hazards. Discovering errors late in the development cycle of your autonomous driving algorithm can lead to extended development times and significantly increased costs. These errors often stem from insufficient test coverage of scenarios that are either untested or unforeseeableRead more

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