michigan-traffic-lab / Ann-Arbor-Intersection-Trajectory-DataLinks
The dataset contains the vehicle trajectory data perceived by the roadside perception system deployed at the signalized intersections and pedestrian corssing midblocks of City of Ann Arbor, Michigan.
☆14Updated last year
Alternatives and similar repositories for Ann-Arbor-Intersection-Trajectory-Data
Users that are interested in Ann-Arbor-Intersection-Trajectory-Data are comparing it to the libraries listed below
Sorting:
- Official implementation of the Neurocomputing paper "Multi-Vehicle Trajectory Prediction and Control at Intersections using State and Int…☆34Updated 7 months ago
- A roundabout traffic conflict dataset☆13Updated last year
- Code for running the implementations proposed in: Westny, T., Oskarsson, J., Olofsson, B. and Frisk, E., "MTP-GO: Graph-Based Probabilis…☆52Updated last year
- This repo contains the code for paper "Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial en…☆46Updated 2 years ago
- This repository collects a set of tools for extracting, visualizing, and simulating Next Generation Simulation (NGSIM) dataset. The tools…☆36Updated 3 years ago
- [IEEE TIV] Official PyTorch Implementation of ''A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving.''☆64Updated 6 months ago
- ☆13Updated 2 years ago
- IV 2020 "CSG: Critical Scenario Generation from Real Traffic Accidents"☆20Updated last month
- The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.☆42Updated 11 months ago
- (T-ITS) TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving☆29Updated 5 months ago
- This repo contains the code for paper "Learning naturalistic driving environment with statistical realism"☆52Updated last year
- data driven approach to predict human driver reaction facing a merge request of surrounding drivers☆16Updated 4 years ago
- "Pooling Toolbox" is the code of our work "Maneuver-Aware Pooling for Vehicle Trajectory Prediction".☆57Updated 3 years ago
- [ITSC 2023] Predictive Decision-making Framework with Interaction-aware Motion Forecasting Model☆110Updated 2 years ago
- MetaScenario: A Framework for Driving Scenario Data Description, Storage and Indexing☆27Updated last year
- outputs the features of the vehicles along with the featuures of neighboring vehicles track by track. This is suitable for vehicle trajec…☆20Updated last month
- This repository contains our work on a comprehensive investigation on motion prediction for Autonomous Vehicles using the PowerBEV framew…☆9Updated last year
- Official implementation of "Regularizing neural networks for future trajectory prediction via IRL framework" published in IET CV☆36Updated 2 years ago
- Official codes for paper: An Ensemble Learning Framework for Trajectory Prediction in Interactive Scenarios☆14Updated 2 years ago
- A traffic simulation software based on SUMO that incorporates driver behavior.☆52Updated 5 years ago
- Neuronales Netz zur Trajektorienprädiktion von Fahrzeugen mit OnlineLearning☆33Updated 2 years ago
- This is the description of the comparisive car-following dataset for studying driving behaviours when following AVs vs. HVs.☆27Updated 7 months ago
- [ISPRS 2023]Official PyTorch Implementation of "GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model"☆69Updated last year
- Code for "Towards Explainable Multi-modal Motion Prediction using Graph Representations"☆33Updated 2 years ago
- ☆64Updated last year
- sumo_learn_project☆40Updated 3 years ago
- Multi-agent occlusion inference using observed driver behaviors. A driver sensor model is learned using a conditional variational autoenc…☆21Updated 3 years ago
- [Implementation of PNAS 2019] Predict SVO by Given Trajectories☆21Updated 2 years ago
- [CoRL 2024 Oral] FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality☆43Updated 3 weeks ago
- Code repository for "Continuous Improvement of Self-Driving Cars using Dynamic Confidence-Aware Reinforcement Learning"☆63Updated 2 years ago