Cover Image

RAC3: Retrieval-Augmented Corner Case Comprehension for Autonomous Driving with Vision-Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yujin, Liu, Quanfeng, Fan, Jiaqi, Hong, Jinlong, Chu, Hongqing, Tian, Mengjian, Gao, Bingzhao, Chen, Hong
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving
by: Wang, Yujin, et al.
Published: (2025)

ScenePilot-4K: A Large-Scale First-Person Dataset and Benchmark for Vision-Language Models in Autonomous Driving
by: Wang, Yujin, et al.
Published: (2026)

Hallucination Elimination and Semantic Enhancement Framework for Vision-Language Models in Traffic Scenarios
by: Fan, Jiaqi, et al.
Published: (2024)

KEPT: Knowledge-Enhanced Prediction of Trajectories from Consecutive Driving Frames with Vision-Language Models
by: Wang, Yujin, et al.
Published: (2025)

MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic Scenarios
by: Fan, Jiaqi, et al.
Published: (2024)

VLADriver-RAG: Retrieval-Augmented Vision-Language-Action Models for Autonomous Driving
by: Zhao, Rui, et al.
Published: (2026)

Prospective Role of Foundation Models in Advancing Autonomous Vehicles
by: Wu, Jianhua, et al.
Published: (2023)

Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases
by: Chen, Kai, et al.
Published: (2024)

ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving
by: Chen, Kai, et al.
Published: (2025)

Spatial Retrieval Augmented Autonomous Driving
by: Jia, Xiaosong, et al.
Published: (2025)

Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous Driving
by: Xiao, Lixing, et al.
Published: (2024)

WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model
by: Zhang, Songyan, et al.
Published: (2024)

CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous Driving
by: Arai, Hidehisa, et al.
Published: (2024)

VLDrive: Vision-Augmented Lightweight MLLMs for Efficient Language-grounded Autonomous Driving
by: Zhang, Ruifei, et al.
Published: (2025)

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
by: Tian, Xiaoyu, et al.
Published: (2024)

ViRAC: A Vision-Reasoning Agent Head Movement Control Framework in Arbitrary Virtual Environments
by: Hwang, Juyeong, et al.
Published: (2025)

Driving in Corner Case: A Real-World Adversarial Closed-Loop Evaluation Platform for End-to-End Autonomous Driving
by: Geng, Jiaheng, et al.
Published: (2025)

DriveRX: A Vision-Language Reasoning Model for Cross-Task Autonomous Driving
by: Diao, Muxi, et al.
Published: (2025)

A Machine Learning Perspective on Automated Driving Corner Cases
by: Schmidt, Sebastian, et al.
Published: (2025)

Addressing Corner Cases in Autonomous Driving: A World Model-based Approach with Mixture of Experts and LLMs
by: Liao, Haicheng, et al.
Published: (2025)

JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data
by: Chen, Runjian, et al.
Published: (2025)

VLP: Vision Language Planning for Autonomous Driving
by: Pan, Chenbin, et al.
Published: (2024)

VLA-R: Vision-Language Action Retrieval toward Open-World End-to-End Autonomous Driving
by: Seong, Hyunki, et al.
Published: (2025)

CaLa: Complementary Association Learning for Augmenting Composed Image Retrieval
by: Jiang, Xintong, et al.
Published: (2024)

Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy Weather
by: Li, Jinlong, et al.
Published: (2023)

Spatial-aware Vision Language Model for Autonomous Driving
by: Wei, Weijie, et al.
Published: (2025)

VECTOR-Drive: Tightly Coupled Vision-Language and Trajectory Expert Routing for End-to-End Autonomous Driving
by: Zhao, Rui, et al.
Published: (2026)

C-CoT: Counterfactual Chain-of-Thought with Vision-Language Models for Safe Autonomous Driving
by: Tian, Kefei, et al.
Published: (2026)

SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving
by: Zheng, Peiru, et al.
Published: (2024)

BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving
by: Tang, Tao, et al.
Published: (2024)

MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control
by: Gao, Ruiyuan, et al.
Published: (2024)

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving
by: Zhang, Tianyuan, et al.
Published: (2024)

Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving
by: Li, Yue, et al.
Published: (2025)

Judge, Then Drive: A Critic-Centric Vision Language Action Framework for Autonomous Driving
by: Yang, Lijin, et al.
Published: (2026)

OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning
by: Wang, Shihao, et al.
Published: (2025)

OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning
by: Wang, Shihao, et al.
Published: (2024)

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
by: Meng, Fanqing, et al.
Published: (2024)

AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving
by: Xing, Shuo, et al.
Published: (2024)

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
by: Zhou, Zewei, et al.
Published: (2025)

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving
by: Chen, Xuesong, et al.
Published: (2025)