goktugyildirim / Vehicle-State-Prediction
LSTM based neural network that predicts the state of the vehicle in terms of position and velocity.
☆13Updated 3 years ago
Alternatives and similar repositories for Vehicle-State-Prediction:
Users that are interested in Vehicle-State-Prediction are comparing it to the libraries listed below
- Motion Planning for Autonomous Driving using Model Predictive Control based on CommonRoad Framework.☆48Updated 2 years ago
- A lightweight LSTM recurrent neural network for vehicle trajectory prediction☆13Updated 2 years ago
- To guarantee safe and efficient driving for automated vehicles in complicated traffic conditions, the motion planning module of automated…☆69Updated 3 years ago
- Implement an MPC approach to coordinate automated vehicles with fixed priorities☆17Updated 5 years ago
- Car following model created in Matlab/Simulink using the Intelligent Driver Model (IDM)☆50Updated 6 years ago
- Data Processing For NGSIM dataset☆50Updated 4 years ago
- make lane change decisions in highway environment based on DRL☆25Updated 5 years ago
- Probabilistic framework for behavior prediction in autonomous vehicles☆15Updated 3 years ago
- ☆50Updated 3 years ago
- Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving☆27Updated 5 years ago
- analyzing NGSIM database: Car Following, Lane Changing☆24Updated 5 years ago
- Implemenation of DQN for lane changes☆19Updated 6 years ago
- utilize LSTM and information from digital map to predict the trajectory of vehicles at an intersection☆24Updated 3 years ago
- Lane-changing trajectory planning of the autonomous vehicle based on the quintic polynomial model☆42Updated 4 years ago
- Decision Making in Dense Traffic using Deep Q-Learning☆21Updated 4 years ago
- ☆20Updated 4 years ago
- A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles…☆24Updated 8 months ago
- We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.☆23Updated 4 years ago
- Multi-vehicle Coordinated Lane Change Strategy☆11Updated 4 years ago
- This is the code base for our paper "B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving", which was published at RA-L …☆39Updated last year
- ☆64Updated 2 years ago
- Codes of "Cooperative Lane Change Motion Planning of Connected and Automated Vehicles: A Stepwise Computational Framework"☆12Updated 6 years ago
- ☆21Updated 3 years ago
- Model Predictive Controller tested on Carla simulator on Race track with reference velocity.☆44Updated 4 years ago
- path planning and speed planning are implemented in this project☆16Updated 2 years ago
- Learning-based Vision Dynamics Nonlinear Model Predictive Control for Autonomous Vehicles☆32Updated last year
- Implement an MPC approach to coordinate multiple automated vehicles with fixed priorities at an unsignalized intersection☆24Updated 6 years ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆52Updated 6 years ago
- A autonomous obstacle avoiding and car following project using model predictive control☆44Updated 6 years ago
- NGSIM I-80 dataset Leader - Follower Vehicle Trajectory Pairs☆56Updated 6 years ago