Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …

Statistics show that worldwide motor vehicle collisions lead to significant deaths and
disabilities as well as substantial financial costs to both society and the individuals involved …

We demonstrate the first application of deep reinforcement learning to autonomous driving.
From randomly initialised parameters, our model is able to learn a policy for lane following in …

Advanced driver assistance systems (ADASs), and particularly pedestrian protection
systems (PPSs), have become an active research area aimed at improving traffic safety. The …

Methods and systems for determining fault for an accident involving a vehicle having one or
more autonomous and/or semi-autonomous operation features are provided. According to …

This paper presents a general, trainable system for object detection in unconstrained,
cluttered scenes. The system derives much of its power from a representation that describes …

The ability to recognize humans and their activities by vision is key for a machine to interact
intelligently and effortlessly with a human-inhabited environment. Because of many …

We present a robust and real time approach to lane marker detection in urban streets. It is
based on generating a top view of the road, filtering using selective oriented Gaussian filters …

Image processing is of fundamental importance for numerous modern technologies. In
recent years, due to increasing demand for real-time and continuous data processing …

Methods and systems for evaluating the effectiveness of autonomous operation features of
autonomous vehicles are provided. According to certain aspects, information regarding …