Sustainable Mobility & Energy – serie
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3 produkter
3 produkter
Inbunden, Engelska, 2026
1 620 kr
Skickas inom 10-15 vardagar
In autonomous vehicles, perception and planning are core systems enabling safe, efficient navigation. Perception interprets surroundings using data from sensors like cameras, radar, and LiDAR to detect and classify objects, traffic signs, road boundaries, and environmental conditions. Advances in machine learning and computer vision continue to improve perception accuracy and reliability. Planning determines the vehicle’s actions via route, behavioral, and motion planning to safely reach its destination. Seamless integration of perception and planning is essential, relying on fast, reliable data exchange through low-latency, high-dependability frameworks. This book presents the latest technologies in perception and planning, emphasizing their integration and highlighting innovations. It serves researchers, students, engineers, ICT professionals, and industry leaders alike.
Inbunden, Engelska, 2026
1 512 kr
Skickas inom 10-15 vardagar
The book offers a comprehensive overview on the state-of the art methods in validation and verification of automated driving systems. It covers latest development in corresponding standards (ASAM), discusses challenges and offers insights in proposed frameworks and tooling to address those.
Inbunden, Engelska, 2027
2 369 kr
Kommande
According to the data provided by World Health Organization, about 1.25 million people are killed and even more people are injured in traffic accidents each year. A significant amount of work has been carried out along with technological advancements to ensure the safety of automobiles. For example, the advanced driving assistance system plays an auxiliary role for the general public to drive, and the intelligent transportation system also brings convenience to road safety management. However, developing a more powerful automatic driving system and evaluating its safety are still great challenges that need further studies. This book will demonstrate the safety decision-making according to the requirement of increasing the safety of autonomous driving. In detail, including the introduction techniques of AI-monitor-based safe decision making, ODD-monitor-based safe decision making, Legal decision-making for autonomous driving, and Moral decision-making under extremely critical situations.