Image de couverture de livre

TaPD: Temporal-adaptive Progressive Distillation for Observation-Adaptive Trajectory Forecasting in Autonomous Driving

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Fan, Mingyu, Liu, Yi, Zhou, Hao, Qian, Deheng, Khan, Mohammad Haziq, Raetsch, Matthias
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence Robotics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Trajectory Prediction for Autonomous Driving Using a Transformer Network
par: Li, Zhenning, et autres
Publié: (2024)

ProIn: Learning to Predict Trajectory Based on Progressive Interactions for Autonomous Driving
par: Dong, Yinke, et autres
Publié: (2024)

Recover to Predict: Progressive Retrospective Learning for Variable-Length Trajectory Prediction
par: Zhou, Hao, et autres
Publié: (2026)

Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving
par: Liao, Haicheng, et autres
Publié: (2024)

Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments
par: Liao, Haicheng, et autres
Publié: (2024)

Quantifying and Modeling Driving Styles in Trajectory Forecasting
par: Zheng, Laura, et autres
Publié: (2025)

Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions
par: Madjid, Nadya Abdel, et autres
Publié: (2025)

Echo Planning for Autonomous Driving: From Current Observations to Future Trajectories and Back
par: Sun, Jintao, et autres
Publié: (2025)

Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges
par: Oksuz, Kemal, et autres
Publié: (2025)

CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving
par: Zhang, Junrui, et autres
Publié: (2025)

DriveAnchor: Progressive Anchor-based Flow Learning for Autonomous Driving Planning
par: Yan, Limin, et autres
Publié: (2026)

Continual Adaptation for Autonomous Driving with the Mixture of Progressive Experts Network
par: Cui, Yixin, et autres
Publié: (2025)

Safe and Stylized Trajectory Planning for Autonomous Driving via Diffusion Model
par: Pei, Shuo, et autres
Publié: (2026)

IRL-DAL: Safe and Adaptive Trajectory Planning for Autonomous Driving via Energy-Guided Diffusion Models
par: Miangoleh, Seyed Ahmad Hosseini, et autres
Publié: (2026)

Temporally Decoupled Diffusion Planning for Autonomous Driving
par: Li, Xiang, et autres
Publié: (2026)

Are All Data Necessary? Efficient Data Pruning for Large-scale Autonomous Driving Dataset via Trajectory Entropy Maximization
par: Liu, Zhaoyang, et autres
Publié: (2025)

TakeAD: Preference-based Post-optimization for End-to-end Autonomous Driving with Expert Takeover Data
par: Liu, Deqing, et autres
Publié: (2025)

Language-Driven Policy Distillation for Cooperative Driving in Multi-Agent Reinforcement Learning
par: Liu, Jiaqi, et autres
Publié: (2024)

Driving Beyond Privilege: Distilling Dense-Reward Knowledge into Sparse-Reward Policies
par: Khanzada, Feeza Khan, et autres
Publié: (2025)

EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving
par: Wang, Yuping, et autres
Publié: (2023)

An Integrating Comprehensive Trajectory Prediction with Risk Potential Field Method for Autonomous Driving
par: Wu, Kailu, et autres
Publié: (2024)

ARTEMIS: Autoregressive End-to-End Trajectory Planning with Mixture of Experts for Autonomous Driving
par: Feng, Renju, et autres
Publié: (2025)

InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving
par: Jiang, Xiyan, et autres
Publié: (2024)

Barrier-Enhanced Parallel Homotopic Trajectory Optimization for Safety-Critical Autonomous Driving
par: Zheng, Lei, et autres
Publié: (2024)

DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
par: Yang, Pengxuan, et autres
Publié: (2026)

ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
par: Zheng, Zhiyu, et autres
Publié: (2025)

Evaluating Pedestrian Trajectory Prediction Methods with Respect to Autonomous Driving
par: Uhlemann, Nico, et autres
Publié: (2023)

EMATO: Energy-Model-Aware Trajectory Optimization for Autonomous Driving
par: Tian, Zhaofeng, et autres
Publié: (2024)

A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving
par: Liao, Haicheng, et autres
Publié: (2024)

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction
par: Li, Haoming
Publié: (2024)

Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving
par: Wang, Linbo, et autres
Publié: (2026)

Online Temporal Fusion for Vectorized Map Construction in Mapless Autonomous Driving
par: Chen, Jiagang, et autres
Publié: (2024)

Planning with Adaptive World Models for Autonomous Driving
par: Vasudevan, Arun Balajee, et autres
Publié: (2024)

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment
par: Liao, Haicheng, et autres
Publié: (2024)

Slope Considered Online Nonlinear Trajectory Planning with Differential Energy Model for Autonomous Driving
par: Tian, Zhaofeng, et autres
Publié: (2024)

SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving
par: Stoler, Benjamin, et autres
Publié: (2023)

Intention-based and Risk-Aware Trajectory Prediction for Autonomous Driving in Complex Traffic Scenarios
par: Wei, Wen, et autres
Publié: (2024)

Safe and Personalizable Logical Guidance for Trajectory Planning of Autonomous Driving
par: Xu, Yuejiao, et autres
Publié: (2024)

A Comprehensive Review of Reinforcement Learning for Autonomous Driving in the CARLA Simulator
par: Delavari, Elahe, et autres
Publié: (2025)

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model
par: Yu, Rui, et autres
Publié: (2025)