TUC-ProAut / HDC_driving_style_classification
☆18Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for HDC_driving_style_classification
- Repository for Driving Style Recognition algorithms for Autonomous Vehicles☆27Updated 11 months ago
- Driving style classification of lane change driving maneuvers for the NGSIM higway dataset☆22Updated last year
- smoothing the NGSIM US-101 trajectory dataset using Savitzky-Golay Filter☆110Updated 3 years ago
- NGSIM I-80 dataset Leader - Follower Vehicle Trajectory Pairs☆52Updated 6 years ago
- This database contains codes and processing data for driving style recognition based on Lankershim vehicle trajectory data. For example, …☆15Updated 2 years ago
- "Pooling Toolbox" is the code of our work "Maneuver-Aware Pooling for Vehicle Trajectory Prediction".☆51Updated 2 years ago
- Baseline Kalman models for trajectory predictions. One is constant velocity LSTM☆95Updated 2 years ago
- Data Processing For NGSIM dataset☆49Updated 3 years ago
- Implemenation of DQN for lane changes☆19Updated 6 years ago
- This is the description of the comparisive car-following dataset for studying driving behaviours when following AVs vs. HVs.☆22Updated 3 weeks ago
- This repository is for studying a trajectory prediction using Kalman filter and deep learning models.☆34Updated 2 years ago
- A framework predicts driver's maneuver behaviors☆25Updated 7 months ago
- A lightweight LSTM recurrent neural network for vehicle trajectory prediction☆12Updated 2 years ago
- analyzing NGSIM database: Car Following, Lane Changing☆21Updated 5 years ago
- Python package to process NGSIM data and traffic sensing with autonomous vehicles☆51Updated 4 years ago
- LSTM lane-changing detection utilizing highD dataset☆119Updated 8 months ago
- This repository collects a set of tools for extracting, visualizing, and simulating Next Generation Simulation (NGSIM) dataset. The tools…☆35Updated 3 years ago
- ☆28Updated 2 years ago
- Code to predict the intention of human drivers on the approach to intersections☆28Updated last year
- This is a tensorflow implementation of "Characterizing Driving Styles with Deep Learning".☆25Updated 3 years ago
- outputs the features of the vehicles along with the featuures of neighboring vehicles track by track. This is suitable for vehicle trajec…☆17Updated 2 years ago
- A research project that leverages reinforcement learning and game theory in self-driving cars☆15Updated 3 years ago
- utilize LSTM and information from digital map to predict the trajectory of vehicles at an intersection☆22Updated 3 years ago
- LSTM for driving behaviour classification☆14Updated 7 months ago
- This python package contains scripts needed to train IRL Driver models on HighD datasets. This code is accompanying the paper "Validating…☆16Updated 2 years ago
- Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving☆23Updated 5 years ago
- This is a project to predict the lane change intention and trajectory incorporating traffic context information☆41Updated 2 years ago
- ☆171Updated 5 years ago
- make lane change decisions in highway environment based on DRL☆24Updated 4 years ago
- Official codes for paper: An Ensemble Learning Framework for Trajectory Prediction in Interactive Scenarios☆13Updated 2 years ago