Brain-computer interfaces (BCIs) are tools that can connect the human brain with an electronic device, typically using electroencephalography (EEG). In recent years, advances in machine learning (ML) have enabled the development of more advanced BCI spellers, devices...
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Survey Hints at the Importance of Chatbots’ Expertise for Gaining Users’ Trust
Several companies and institutions worldwide have recently started using chatbots to provide information or guidance to customers and others using their services. Although these customer service applications are becoming increasingly popular, only a few studies have...
A social perception scheme for behavior planning of autonomous cars
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...
Researchers develop a fleet of 16 miniature cars for cooperative driving experiments
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...
A technique to improve machine learning inspired by the behavior of human infants
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...
Motion planning for automated driving under uncertainty and with limited visibility
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,...
A new framework for vision-based aggressive driving
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...
Adaptive anomaly detection in traffic surveillance videos
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,...