Wasedarocket's Stars
jiachenli94/Awesome-Decision-Making-Reinforcement-Learning
A selection of state-of-the-art research materials on decision making and motion planning.
chauvinSimon/Hierarchical-Decision-Making-for-Autonomous-Driving
Rich literature review and discussion on the implementation of "Hierarchical Decision-Making for Autonomous Driving"
chauvinSimon/Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
chauvinSimon/My_Bibliography_for_Research_on_Autonomous_Driving
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
TuSimple/rl-multishot-reid
Multi-shot Pedestrian Re-identification via Sequential Decision Making (CVPR2018)
acganesh/torcspilot
Deep reinforcement learning for simulated autonomous driving
pierluigiferrari/path_planner
A path planner for autonomous driving on highways
esrlabs/Conferences-for-Autonomous-Driving
List of Events for Autonomous Driving Engineers and Developers
popovicidaniela/Master-Thesis
Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex
xinleipan/VirtualtoReal-RL
BMVC 2017: Virtual to Real Reinforcement Learning for Autonomous Driving
twxjyg/Hybrid-A-Star-U-Turn-Solution
Autonomous driving trajectory planning solution for U-Turn scenario
praveen-palanisamy/macad-gym
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
merantix/imitation-learning
Autonomous driving: Tensorflow implementation of the paper "End-to-end Driving via Conditional Imitation Learning"
sagar448/Self-Driving-Car-3D-Simulator-With-CNN
Implementing a self driving car using a 3D Driving Simulator. CNN will be used for training
DJTobias/Cherry-Autonomous-Racecar
Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS
Farama-Foundation/HighwayEnv
A minimalist environment for decision-making in autonomous driving
aleju/self-driving-truck
Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning
energystoryhhl/dbc2excel
can总线中dbc转excel的工具,采用python编写。convert dbc to excel
tianyolanda/ros_zed_kerasSSD
A ros package for autonomous driving object detection. use ZED camera, ROS message, A keras implemented SSD
tianyolanda/yolotest
tianyolanda/yolov3-chinese-annotation
"How to Implement YOLO v3 Object Detector from Scratch" inference源码/ 逐行中文注释
tianyolanda/leetcoding
tianyolanda/tkyushu-ssdtrain
tianyolanda/derpn-study
recurrent
tianyolanda/DeRPN
Dimension decomposition region proposal network -- a novel region proposal method for more general object detection.
tianyolanda/cityscape2pascal
convert cityscape segmentation label to pascal voc bbox label
tianyolanda/fpn-pytorch1.0
feature pyramid network implementation in pytorch1.0
tianyolanda/somecodes
save some code
tianyolanda/keras-retinanet
Keras implementation of RetinaNet object detection.
tianyolanda/nimo
nimonimo