trajectory-prediction

NVIDIA Alpamayo 1 Nano is an open 10B reasoning VLA model for autonomous vehicles that pairs driving trajectories with Chain-of-Causation reasoning.

A selection of state-of-the-art research materials on trajectory prediction

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

[CVPR 2023] Query-Centric Trajectory Prediction

The ApolloScape Open Dataset for Autonomous Driving and its Application.

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

This is a list of papers related to traffic agent trajectory prediction.

A Unified Framework for scalable Vehicle Trajectory Prediction, ECCV 2024

Real-time 3D LiDAR obstacle detection, tracking & trajectory prediction for ROS 1 / ROS 2: ground segmentation, clustering, 2.5D occupancy, optional GPU CenterPoint (TensorRT). ~10 ms/scan on one CPU core.

Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++

Code for "Transformer Networks for Trajectory Forecasting"

NVIDIA Alpamayo 1.5 Nano is an open 10B reasoning VLA model for autonomous vehicles with reinforcement-learning enhanced reasoning, navigation guidance, and visual question answering.

[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".

NVIDIA Alpamayo 2 Super is an open 34B multi-task foundation model designed to supercharge autonomous vehicle development.

Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

Summary of open source code for deep learning models in the field of traffic prediction

[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction

[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph