Cover Image

HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single Decoder

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Yingqi, Xu, Zhuoran, Meng, Zhaotie, Cheng, Erkang
Format:	Preprint
Published:	2025
Subjects:	Robotics Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SimPB: A Single Model for 2D and 3D Object Detection from Multiple Cameras
by: Tang, Yingqi, et al.
Published: (2024)

SimPB++: Simultaneously Detecting 2D and 3D Objects from Multiple Cameras
by: Tang, Yingqi, et al.
Published: (2026)

HiDrive: A Closed-Loop Benchmark for High-Level Autonomous Driving
by: Xia, Zhongyu, et al.
Published: (2026)

SUPER-AD: Semantic Uncertainty-aware Planning for End-to-End Robust Autonomous Driving
by: Ryu, Wonjeong, et al.
Published: (2025)

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model
by: Yu, Rui, et al.
Published: (2025)

ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving
by: Lu, Han, et al.
Published: (2024)

DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving
by: Wang, Tao, et al.
Published: (2025)

Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning
by: Li, Yue, et al.
Published: (2025)

HiST-VLA: A Hierarchical Spatio-Temporal Vision-Language-Action Model for End-to-End Autonomous Driving
by: Wang, Yiru, et al.
Published: (2026)

QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving
by: Biswas, Sourav, et al.
Published: (2024)

RS2AD: End-to-End Autonomous Driving Data Generation from Roadside Sensor Observations
by: Xing, Ruidan, et al.
Published: (2025)

ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
by: Zheng, Zhiyu, et al.
Published: (2025)

LHPF: Look back the History and Plan for the Future in Autonomous Driving
by: Wang, Sheng, et al.
Published: (2024)

DeFlow: Decoder of Scene Flow Network in Autonomous Driving
by: Zhang, Qingwen, et al.
Published: (2024)

PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving
by: Chen, Zhili, et al.
Published: (2023)

LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving
by: Kong, Lingdong, et al.
Published: (2025)

Explanation for Trajectory Planning using Multi-modal Large Language Model for Autonomous Driving
by: Yamazaki, Shota, et al.
Published: (2024)

Uni-World VLA: Interleaved World Modeling and Planning for Autonomous Driving
by: Liu, Qiqi, et al.
Published: (2026)

UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty
by: Yang, Pengxuan, et al.
Published: (2025)

SpaRC-AD: A Baseline for Radar-Camera Fusion in End-to-End Autonomous Driving
by: Wolters, Philipp, et al.
Published: (2025)

AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
by: Wu, Yanhao, et al.
Published: (2026)

UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving
by: Li, Yongkang, et al.
Published: (2026)

An End-to-End Decision-Aware Multi-Scale Attention-Based Model for Explainable Autonomous Driving
by: Azad, Maryam Sadat Hosseini, et al.
Published: (2026)

CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous Driving
by: Zheng, Xiaoji, et al.
Published: (2025)

M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving
by: Xu, Dongyang, et al.
Published: (2024)

Drive-P2D: A Progressive Perception-to-Decision Benchmark for VLMs in Autonomous Driving
by: Tang, Zecong, et al.
Published: (2026)

Cognitive-Hierarchy Guided End-to-End Planning for Autonomous Driving
by: Wang, Zhennan, et al.
Published: (2025)

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers
by: Osterburg, Timo, et al.
Published: (2025)

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024)

Hybrid-Prediction Integrated Planning for Autonomous Driving
by: Liu, Haochen, et al.
Published: (2024)

PerlAD: Towards Enhanced Closed-loop End-to-end Autonomous Driving with Pseudo-simulation-based Reinforcement Learning
by: Gao, Yinfeng, et al.
Published: (2026)

MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving
by: Yasarla, Rajeev, et al.
Published: (2026)

Mimir: Hierarchical Goal-Driven Diffusion with Uncertainty Propagation for End-to-End Autonomous Driving
by: Xing, Zebin, et al.
Published: (2025)

Bridging Past and Future: End-to-End Autonomous Driving with Historical Prediction and Planning
by: Zhang, Bozhou, et al.
Published: (2025)

Echo Planning for Autonomous Driving: From Current Observations to Future Trajectories and Back
by: Sun, Jintao, et al.
Published: (2025)

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning
by: Jiang, Bo, et al.
Published: (2024)

DiffRefiner: Coarse to Fine Trajectory Planning via Diffusion Refinement with Semantic Interaction for End to End Autonomous Driving
by: Yin, Liuhan, et al.
Published: (2025)

WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving
by: Yang, Pengxuan, et al.
Published: (2025)

Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges
by: Oksuz, Kemal, et al.
Published: (2025)

Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving
by: Sani, Depanshu, et al.
Published: (2024)