Abstract The AI City Challenge's seventh edition emphasizes two domains at the intersection
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …

Abstract The eighth AI City Challenge highlighted the convergence of computer vision and
artificial intelligence in areas like retail warehouse settings and Intelligent Traffic Systems …

Abstract The AI City Challenge has been created to accelerate intelligent video analysis that
helps make cities smarter and safer. With millions of traffic video cameras acting as sensors …

Abstract The NVIDIA AI City Challenge has been created to accelerate intelligent video
analysis that helps make cities smarter and safer. With millions of traffic video cameras …

Driving Scene understanding is a key ingredient for intelligent transportation systems. To
achieve systems that can operate in a complex physical and social environment, they need …

Scaling the distribution of automated vehicles requires handling various unexpected and
possibly dangerous situations, termed corner cases (CC). Since many modules of …

Accurate prediction of pedestrian and bicyclist paths is integral to the development of
reliable autonomous vehicles in dense urban environments. The interactions between …

Autonomous and assisted driving are undoubtedly hot topics in computer vision. However,
the driving task is extremely complex and a deep understanding of drivers' behavior is still …

This paper presents a novel dataset for traffic accidents analysis. Our goal is to resolve the
lack of public data for research about automatic spatio-temporal annotations for traffic safety …

Humans drive in a holistic fashion which entails, in particular, understanding dynamic road
events and their evolution. Injecting these capabilities in autonomous vehicles can thus take …