The self driving challenge in 2021 is this century's technological equivalent of the space race, and is now entering the second major decade of development.
We present FIERY: a probabilistic future prediction model in bird's-eye view from monocular cameras.
Ranked #1 on Bird's-Eye View Semantic Segmentation on nuScenes
no code implementations • 30 Nov 2019 • Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall
As our main contribution, we present an end-to-end conditional imitation learning approach, combining both lateral and longitudinal control on a real vehicle for following urban routes with simple traffic.
Simulation can be a powerful tool for understanding machine learning systems and designing methods to solve real-world problems.
We demonstrate the first application of deep reinforcement learning to autonomous driving.
This paper is about enabling robots to improve their perceptual performance through repeated use in their operating environment, creating local expert detectors fitted to the places through which a robot moves.