DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018
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Updated
Mar 20, 2019 - Python
DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018
High-speed Autonomous Drifting with Deep Reinforcement Learning
Driving risk assessment with deep learning using a monocular camera. Related paper: https://arxiv.org/abs/1906.02859
An Implementation of Fatigue Driving Detect, Huawei Cloud Track, 18th Challenge Cup
Upon sleep detection, the code will trigger notifications that include a combination of gentle vibrations on the watch and an escalating audio alert on the phone. This approach provides a multi-sensory wake-up cue to increase the user's chance of being roused from sleep.
A driving simulator to test concentration while driving
Evolutionary Path Finding.
A driver assistance system that will remind a driver to follow eco-driving principles when a certain principle is violated
Learning when agent can talk to drivers using PazNet
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