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
Learning when agent can talk to drivers using PazNet
An unofficial pytorch implementation of "Early Anticipation of Driving Maneuvers" based on the PySlowFast framework.
Evolutionary Path Finding.
A driver assistance system that will remind a driver to follow eco-driving principles when a certain principle is violated
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