SmartIdiot's repositories
awesome-autonomous-vehicle
无人驾驶的资源列表中文版
deep_intent
Modeling pedestrian and vehicular movement to determine stochastic response to anomalies
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Designers-Learn-Git
为设计师而作的GitHub的快速学习教程
docker-sumo
Containerised SUMO. Use sumo, sumo-gui and TraCI with Docker. :whale: :car:
driving-behavior-risk-prediction.
2018平安产险数据建模大赛 驾驶行为预测驾驶风险
homepage
My personal website
NeXTA_4_NGSIM_Trajectory_Visualization
a free and open source tool for visualizing vehicle trajectories using space time diagram
object_detection_projects
My public projects about object detection algorithms
Path-planning
Path planning implemented with behavior trees
PilotNet
A Deep Learning Beginner: Nvidia's End to End Learning on Steering for Self-Driving Cars
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
Reinforcement_Learning_for_Traffic_Light_Control
Apply deep reinforcement learning methods including DQN, DDPG for traffic light control in simulation (discrete environment), to prove the 'Green Wave' phenomenon in intelligent traffic system.
SDC-Lane-and-Vehicle-Detection-Tracking
OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars
shanghai_transportation
上海市交通流量时空模式挖掘
social-cnn-pytorch
Human Trajectory Prediction in Socially Interacting Crowds Using a CNN-based Architecture
Social_lstm_pedestrian_prediction
Modification of the paper "Social LSTM: Human Trajectory Prediction in Crowded Space" with the insertion of a new way to take into account social information and the consideration of the pedestrian goal.
sumo-rl
A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.
tctb
Traffic Control Test Bed
w99-demo
Wiedemann 99 Car Following Model Explained.