A selection of state-of-the-art research materials on trajectory prediction
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Updated
May 7, 2024 - TeX
A selection of state-of-the-art research materials on trajectory prediction
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
LibCity: An Open Library for Urban Spatial-temporal Data Mining
The ApolloScape Open Dataset for Autonomous Driving and its Application.
Code for "Transformer Networks for Trajectory Forecasting"
Human Trajectory Prediction Dataset Benchmark (ACCV 2020)
Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
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.
[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
[CVPR 2023] Query-Centric Trajectory Prediction
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.
Summary of open source code for deep learning models in the field of traffic prediction
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)
(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving
Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”
A selection of state-of-the-art research materials on decision making and motion planning.
This is a list of papers related to traffic agent trajectory prediction.
Awesome Resources for Advanced Computer Vision Topics
Code for "Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals," CoRL 2021.
A deep generative model to predict aircraft actual trajectories using high dimensional weather data
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