Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Farmsim_mod_followme | 86 | 10 months ago | 9 | Lua | ||||||
Farming Simulator modification - FollowMe | ||||||||||
Udacity Path Planning | 70 | 6 years ago | C++ | |||||||
My solution for udacity path planning project. This makes the car drive > 20 miles without collision without constraint violation | ||||||||||
Motionplanner | 49 | 4 years ago | 3 | Python | ||||||
Motion Planner for Self Driving Cars | ||||||||||
Copilot | 40 | 4 years ago | 1 | mit | Jupyter Notebook | |||||
Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision | ||||||||||
Nyc Motor Vehicle Collisions | 32 | 2 years ago | mit | HTML | ||||||
Analysis of motor vehicle collisions in New York City | ||||||||||
Vehicle_collision_prediction_using_cnn Lstms | 24 | 4 years ago | gpl-3.0 | Python | ||||||
Predict Vehicle collision moments before it happens!. CNN and LSTM hybrid architecture is used to understand a series of images. | ||||||||||
Nyc Crash Mapper | 16 | 4 years ago | 14 | mit | JavaScript | |||||
React Redux web application for viewing, filtering, & comparing trends of automobile collision data published by the NYPD. | ||||||||||
Pedestrianavoidancepomdp.jl | 16 | 4 years ago | 4 | other | Jupyter Notebook | |||||
POMDP formulation of a pedestrian avoidance problem for autonomous driving | ||||||||||
Mivecc_with_drl | 11 | 3 years ago | mit | Python | ||||||
This is a Multi-intersection Vehicular Cooperative Control (MiVeCC) scheme to enable cooperation among vehicles in a 3*3 unsignalized intersections. we proposed a algorithm combined heuristic-rule and two-stage deep reinforcement learning. The heuristic-rule achieves vehicles across the intersections without collisions. Based on the heuristic-rule, DDPG is used to optimize the collaborative control of vehicles and improve the traffic efficiency. Simulation results show that the proposed algorithm can improve travel efficiency at multiple intersections by up to 4.59 times without collision compared with existing methods. | ||||||||||
Net Mpc_collision Avoidance | 10 | 6 years ago | gpl-3.0 | Matlab | ||||||
MATLAB Simulation of Networked Model Predictive Control for Vehicle Collision Avoidance |