git clone https://github.com/vita-epfl/UniTraj.gitcdunitraj pip install -r requirements.txt python setup.py develop You can verify the installation of UniTraj via running the training script: python train.py method=autobot The model will be trained on several sample data. ...
Mohamed Hasan, Albert Solernou, Evangelos Paschalidis, He Wang, Gustav Markkula and Richard Romano, "Maneuver-Aware Pooling for Vehicle Trajectory Prediction", preprint 2021. This project is licensed under the MIT License - see theLICENSE.mdfile for details....
In the current model, the vehicle has to reduce the velocity when it approaches the turn. However, due to a lower prediction horizon, the controller is unable to predict the velocity, and the result delayed braking that leads to a deviation of the vehicle path from the reference traje...
To address these challenges, we introduce UniTraj, a comprehensive framework that unifies various datasets, models, and evaluation criteria, presenting new opportunities for the vehicle trajectory prediction field. In particular, using UniTraj, we conduct extensive experiments and find that model ...
The Human Driven-Vehicle (HDV) accidents dataset that we used to is publicly available athttps://www.chp.ca.gov/programs-services/services-information/switrs-internet-statewide-integrated-traffic-records-system.The Autonomous Vehicle (AV) accidents dataset is available athttps://github.com/UCF-SST...
However, vehicle speed prediction focuses on the identification of the future micro speed patterns. The future information of vehicle speed is useful for trajectory planning and eco-driving (Huang et al., 2018; Ye et al., 2019). Especially for the hybrid electric vehicles, the speed prediction...
the code for the paper "GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction" - joy-driven/GRANP
2. Prediction 2.1. Motion Model 2.2. Predicted State 2.3. Error State Linearization 2.4. Propagate Uncertainty 3. Correction 3.1. Measurement Availability 3.2. Measurement Model 3.3. Measurement Update 4. Vehicle Trajectory 4.1. Ground Truth and Estimate 4.2. Estimation Error and Uncertainty Bounds...
Paper tables with annotated results for A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency Losses
Autonomous Driving Prediction Trajectory Prediction Datasets Edit nuScenes Waymo Open Motion Dataset Lyft Level 5 Prediction Results from the Paper Edit Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers. Methods...