Researchers at the University of California (UC), Berkeley, have recently developed a generative model that can predict the sequential motions of pairs of interacting agents, including self-driving vehicles as well as vehicles with human drivers. Their method,...
Automotive
An end-to-end imitation learning system for speed control of autonomous vehicles
Researchers at Valeo, a tech company specialized in automotive innovation, have recently developed an end-to-end imitation learning system for car speed control. Their approach, outlined in a paper pre-published on arXiv, uses a neural network with long short-term...
Baidu researchers develop a new auto-tuning framework for autonomous vehicles
Researchers at Chinese multinational tech company Baidu have recently developed a data-driven auto-tuning framework for self-driving vehicles based on the Apollo autonomous driving platform. The framework, presented in a paper pre-published on arXiv, consists of a new...
A deep learning approach to identify Twitter users’ location during emergencies
Researchers at the National Institute of Technology Patna, in India, have recently devised a tool to identify the geographical location of emergencies and disasters, as well as that of the people involved in them. Their approach, outlined in a paper in the...