tud-hri / irlmodelvalidation
This python package contains scripts needed to train IRL Driver models on HighD datasets. This code is accompanying the paper "Validating human driver models for interaction-aware automated vehicle controllers: A human factors approach - Siebinga, Zgonnikov & Abbink 2021" and should be used in combination with TraViA, a program for traffic data …
☆18Updated 2 years ago
Alternatives and similar repositories for irlmodelvalidation:
Users that are interested in irlmodelvalidation are comparing it to the libraries listed below
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆11Updated last year
- make lane change decisions in highway environment based on DRL☆25Updated 5 years ago
- analyzing NGSIM database: Car Following, Lane Changing☆24Updated 5 years ago
- ☆21Updated 3 years ago
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆14Updated 2 years ago
- outputs the features of the vehicles along with the featuures of neighboring vehicles track by track. This is suitable for vehicle trajec…☆20Updated 3 years ago
- Driving style classification of lane change driving maneuvers for the NGSIM higway dataset☆26Updated last year
- Lane-changing decision model based on deep Markov model and Cognitive Hierarchy model☆22Updated 8 months ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆52Updated 6 years ago
- a learning-based decision-making algorithm for on-ramp merging☆25Updated last year
- This database contains codes and processing data for driving style recognition based on Lankershim vehicle trajectory data. For example, …☆16Updated 2 years ago
- Data Processing For NGSIM dataset☆50Updated 4 years ago
- For the paper "Prediction-Based Reachability for Collision Avoidance in Autonomous Driving"☆21Updated 4 years ago
- Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving☆27Updated 5 years ago
- Proposed to leverage human driving data to learn a social preference model of human driving using inverse reinforcement learning and then…☆8Updated last year
- A lane changing optimization planning method for autonomous vehicles in mixed traffic flow. For lane changing using three degree curve an…☆15Updated 10 months ago
- Official codes for paper: An Ensemble Learning Framework for Trajectory Prediction in Interactive Scenarios☆14Updated 2 years ago
- CAVSim: a traffic simulator for connected and automated vehicles (CAVs)☆44Updated 10 months ago
- Implemenation of DQN for lane changes☆19Updated 6 years ago
- trajectory prediction using NGSIM. ECE 228 Sp22☆15Updated 2 years ago
- This is a project to predict the lane change intention and trajectory incorporating traffic context information☆47Updated 2 years ago
- ☆27Updated last year
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆23Updated last year
- data driven approach to predict human driver reaction facing a merge request of surrounding drivers☆16Updated 4 years ago
- ☆11Updated 3 years ago
- transparent and reproducible analysis of merging behavior: evidence from exiD dataset☆10Updated last year
- HighD preprocessing☆14Updated 3 years ago
- Leading Cruise Control☆19Updated 10 months ago
- An autonomous driving agent with a Safety model and the ATtention mechanism in a multi-task framework.☆14Updated 2 years ago
- This repo provides a rudimentary implementation of Gaussian Velocity Field.☆21Updated last year