Researchers at Ulm University in Germany have recently developed a new framework that could help to make self-driving cars safer in urban and highly dynamic environments. This framework, presented in a paper pre-published on arXiv, is designed to identify potential...
Automotive
Exploring the factors that influence drivers while transitioning from highly automated driving
In recent years, many companies have been investing in fully and partly autonomous vehicles. Before these vehicles can be deployed in the real world and on a large scale; however, their developers will need to ensure that they are safe and can deal effectively with...
LUCIDGames: A technique to plan adaptive trajectories for autonomous vehicles
While many self-driving vehicles have achieved remarkable performance in simulations or initial trials, when tested on real streets, they are often unable to adapt their trajectories or movements based on those of other vehicles or agents in their surroundings. This...
Toyota and NTT to collaborate on platform for connected cars
Car manufacturer Toyota and the Nippon Telegraph and Telephone Corporation (NTT) have announced they are to collaborate on the development of technology for connected cars.
Uber hits red light on autonomous car tests after accident in Arizona
Uber is suspending autonomous car tests after one of its self-driving vehicles crashed into another car in Tempe, Arizona. While no one was injured in the accident, Uber’s autonomous vehicle trials are on hold until police investigations are complete.
Testing a connected eco-driving system in field trials with heavy-duty trucks
Currently, 90 percent of fuel used for transportation is petroleum-based, making it one of the key contributors to air pollution worldwide. Recent technological advances, however, are finally enabling the development of new tools to reduce energy consumption and...
Uber develops technique to predict pedestrian behavior, while new documents are released about last year’s accident
In years to come, self-driving vehicles could gradually become a popular means of transportation. Before this can happen, however, researchers will need to develop tools that ensure that these vehicles are safe and can efficiently navigate in human-populated...
A new vehicle search system for video surveillance networks
A team of researchers at JD AI Research and Beijing University have recently developed a progressive vehicle search system for video surveillance networks, called PVSS. Their system, presented in a paper pre-published on arXiv, can effectively search for a specific...
An interpretable model to predict the sequential motions of interacting agents
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,...
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...