Cover Image

Sequence of Expert: Boosting Imitation Planners for Autonomous Driving through Temporal Alternation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Xiang, Liu, Gang, Zhou, Weitao, Zhu, Hongyi, Cao, Zhong
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving
by: Deng, Nanshan, et al.
Published: (2025)

CorrectionPlanner: Self-Correction Planner with Reinforcement Learning in Autonomous Driving
by: Guo, Yihong, et al.
Published: (2026)

Hybrid Imitation-Learning Motion Planner for Urban Driving
by: Gariboldi, Cristian, et al.
Published: (2024)

Temporally Decoupled Diffusion Planning for Autonomous Driving
by: Li, Xiang, et al.
Published: (2026)

A Rule-Based Behaviour Planner for Autonomous Driving
by: Frederic, Bouchard, et al.
Published: (2024)

ExpertAD: Enhancing Autonomous Driving Systems with Mixture of Experts
by: Jiang, Haowen, et al.
Published: (2025)

LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving
by: Qiao, Zhijie, et al.
Published: (2025)

Imitation Learning for Autonomous Driving: Insights from Real-World Testing
by: Dursun, Hidayet Ersin, et al.
Published: (2025)

LSRE: Latent Semantic Rule Encoding for Real-Time Semantic Risk Detection in Autonomous Driving
by: Cheng, Qian, et al.
Published: (2025)

An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles
by: Samiuddin, Jilan, et al.
Published: (2024)

A Real-time Spatio-Temporal Trajectory Planner for Autonomous Vehicles with Semantic Graph Optimization
by: He, Shan, et al.
Published: (2025)

Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs
by: Duan, Yiqun, et al.
Published: (2024)

From Imitation to Exploration: End-to-end Autonomous Driving based on World Model
by: Li, Yueyuan, et al.
Published: (2024)

Kinematics-Aware Latent World Models for Data-Efficient Autonomous Driving
by: Li, Jiazhuo, et al.
Published: (2026)

A Knowledge-Driven Diffusion Policy for End-to-End Autonomous Driving Based on Expert Routing
by: Xu, Chengkai, et al.
Published: (2025)

Residual Chain Prediction for Autonomous Driving Path Planning
by: Zhou, Liguo, et al.
Published: (2024)

Reinforced Imitative Trajectory Planning for Urban Automated Driving
by: Zeng, Di, et al.
Published: (2024)

Vehicle Dynamics Embedded World Models for Autonomous Driving
by: Li, Huiqian, et al.
Published: (2025)

What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving
by: Zhou, Hongkuan, et al.
Published: (2023)

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories
by: Mobarakeh, Niloufar Saeidi, et al.
Published: (2024)

Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving
by: Lian, Zhexi, et al.
Published: (2026)

TakeAD: Preference-based Post-optimization for End-to-end Autonomous Driving with Expert Takeover Data
by: Liu, Deqing, et al.
Published: (2025)

Hi-Drive: Hierarchical POMDP Planning for Safe Autonomous Driving in Diverse Urban Environments
by: Jin, Xuanjin, et al.
Published: (2024)

PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning
by: Lin, Fangze, et al.
Published: (2024)

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving
by: Li, Jingzheng, et al.
Published: (2025)

Autonomous Human-Robot Interaction via Operator Imitation
by: Christen, Sammy, et al.
Published: (2025)

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation
by: Xiao, Jiaping, et al.
Published: (2025)

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving
by: Yang, Zhenjie, et al.
Published: (2025)

A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous Racing
by: Cao, Shengfan, et al.
Published: (2025)

Robust Offline Imitation Learning Through State-level Trajectory Stitching
by: Wang, Shuze, et al.
Published: (2025)

Physics-informed Imitative Reinforcement Learning for Real-world Driving
by: Zhou, Hang, et al.
Published: (2024)

Autonomous Soft Robotic Guidewire Navigation via Imitation Learning
by: Barnes, Noah, et al.
Published: (2025)

Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments
by: Couto, Gustavo Claudio Karl, et al.
Published: (2023)

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following
by: Yang, Yuxiao, et al.
Published: (2024)

Learning to Drive by Imitating Surrounding Vehicles
by: Sonmez, Yasin, et al.
Published: (2025)

FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusion
by: Teng, Siyu, et al.
Published: (2023)

From Imitation to Optimization: A Comparative Study of Offline Learning for Autonomous Driving
by: Guillen-Perez, Antonio
Published: (2025)

Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights
by: Liao, Haicheng, et al.
Published: (2025)

FocalAD: Local Motion Planning for End-to-End Autonomous Driving
by: Sun, Bin, et al.
Published: (2025)

RISE: Robust Imitation through Stochastic Encoding
by: Tayal, Mumuksh, et al.
Published: (2025)