LibCity: An Open Library for Urban Spatial-temporal Data Mining
-
Updated
Jul 11, 2024 - Python
LibCity: An Open Library for Urban Spatial-temporal Data Mining
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
Human Trajectory Prediction Dataset Benchmark (ACCV 2020)
[CVPR 2023] Query-Centric Trajectory Prediction
Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
Code for "Transformer Networks for Trajectory Forecasting"
Dataset, code and model for the CVPR'20 paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction". And for the ECCV'20 SimAug paper.
[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
Code for "Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals," CoRL 2021.
This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.
(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving
[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)
A Unified Framework for scalable Vehicle Trajectory Prediction
[arXiv] What-If Motion Prediction for Autonomous Driving ❓🚗💨
[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
Pytorch Implementation for Stepwise Goal-Driven Networks for Trajectory Prediction (RA-L/ICRA2022)
A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting
[CVPRW 2024]Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"
Implementation of CVPR 2022 paper "On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles" https://arxiv.org/abs/2201.05057
Add a description, image, and links to the trajectory-prediction topic page so that developers can more easily learn about it.
To associate your repository with the trajectory-prediction topic, visit your repo's landing page and select "manage topics."