NN-Planning

Imitation-with-Spatial-Temporal-Heatmap

MotionLM: Multi-Agent Motion Forecasting as Language Modeling

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios

JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving

https://spinningup.openai.com/en/latest/

https://github.com/huggingface/trl/tree/main/examples/research_projects/stack_llama/scripts

https://huggingface.co/blog/stackllama

Residual Diffusion Modeling for Km-scale Atmospheric Downscaling

QCNet QCnext simple

Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving

https://www.youtube.com/watch?v=rihPNj4va4E wabbi survey

https://www.youtube.com/watch?v=8Mr7k8fJGqE wabbi survey

MP3: A Unified Model to Map, Perceive, Predict and Plan

Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion

Intention-aware Denoising Diffusion Model for Trajectory Prediction

GBD-TS: Goal-based Pedestrian Trajectory Prediction with Diffusion using Tree Sampling Algorithm*

Leapfrog Diffusion Model for Stochastic Trajectory Prediction

SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction

From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting

Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation

Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning

MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion

NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration

ViNT: A Foundation Model for Visual Navigation

https://general-navigation-models.github.io/

policy diffusion

crossway diffusion

PLUTO: Pushing the Limit of Imitation Learning-based Planning for AUTOnomous Driving

Rethinking Imitation-based Planners for Autonomous Driving

https://waymo.com/open/challenges/2024/motion-prediction/

https://github.com/Psychic-DL/Awesome-Traffic-Agent-Trajectory-Prediction

https://waymo.com/research/

https://zhuanlan.zhihu.com/p/656099228?utm_id=0

https://www.youtube.com/watch?v=RzfzKU95nPA&t=461s tesla

Parting with Misconceptions about Learning-based Vehicle Motion Planning

End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps

Occupancy Prediction-Guided Neural Planner for Autonomous Driving

Tree-structured Policy Planning with Learned Behavior Models

Imitation with Spatial-Temporal Heatmap

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios

Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation

Fighting Copycat Agents in Behavioral Cloning from Observation Histories

Rethinking Imitation-based Planner for Autonomous Driving

PLUTO: Pushing the Limit of Imitation Learning-based Planning for AUTOnomous Driving

vectornet TNT & denseTNT multipath & multipath++ scenetransformer wayformer https://ronaldsun.github.io/posts/prediction-summary/#scene-transformer2022-waymo

simulator

BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout

NeuroNCAP Photorealistic Closed-loop Safety Testing for Autonomous Driving

Traffic Flow-Based Crowdsourced Mapping in Complex Urban Scenario