Category

DLAD
rFpro have released a short video showing their end-to-end simulation solution for testing, training and validating Deep Learning Autonomous Driving models. A massively parallel test environment allows accurate, high quality, digital models of the real world to be shared by multiple ego vehicles, each with multiple sensor feeds, plus Swarm traffic and pedestrians, plus Programmed...
rFpro have released a video showing rFpro being used to train, test and validate DLAD (Deep Learning Autonomous Driving) models. The video shows some of the ways in which rFpro is being used to test DLAD (Deep Learning Autonomous Driving) models. In some clips you can see the view from camera sensors feeding DLAD systems....
rFpro has long been used to provide camera sensor feeds for testing ADAS and Autonomous systems in simulation. A recent project, however, required the testing in simulation of a virtual surround sensor with 360 degree vision. Sensors with a field of view in excess of 180 degrees are no longer uncommon, for example the 250...
A paper outlining the role of digital road models in the virtual testing of autonomous vehicles will be presented at the Autonomous Vehicle Test and Development Symposium (Stuttgart, Germany, 16-18 June) Read more at Intelligent Mobility Insight