To navigate dynamic environments, autonomous vehicles (AVs) should be able to process all information available to them and use it to generate effective driving strategies. Researchers at the University of California, Berkeley, have recently proposed a social...
A team of researchers at The University of Cambridge has recently introduced a unique experimental testbed that could be used for experiments in cooperative driving. This testbed, presented in a paper pre-published on arXiv, consists of 16 miniature Ackermann-steering...
From their first years of life, human beings have the innate ability to learn continuously and build mental models of the world, simply by observing and interacting with things or people in their surroundings. Cognitive psychology studies suggest that humans make...
Researchers at the FZI Research Center for Information Technology have developed a new method that could improve the motion planning of autonomous vehicles within uncertain environments or in conditions of limited visibility. Their paper, pre-published on arXiv,...
Researchers at the Institute for Robotics and Intelligent Machines (IRIM) of the Georgia Institute of Technology have recently proposed a new framework for aggressive driving using only a monocular camera, IMU sensors and wheel speed sensors. Their approach, presented...
Researchers at Arizona State University (ASU) have recently developed a new method of detecting unusual activity in traffic surveillance videos, which is based on an adaptive anomaly detection (AAD) framework. Their method, outlined in a paper pre-published on arXiv,...