Cover Image

Data Shift of Object Detection in Autonomous Driving

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Xu, Lida
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent
by: He, Linfeng, et al.
Published: (2024)

Optimization of Autonomous Driving Image Detection Based on RFAConv and Triplet Attention
by: Ling, Zhipeng, et al.
Published: (2024)

CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting
by: Liao, Haicheng, et al.
Published: (2025)

A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective
by: Xu, Huaiyuan, et al.
Published: (2024)

DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving
by: Yang, Xuemeng, et al.
Published: (2024)

VERDI: VLM-Embedded Reasoning for Autonomous Driving
by: Feng, Bowen, et al.
Published: (2025)

Generative AI for Autonomous Driving: A Review
by: Winter, Katharina, et al.
Published: (2025)

Generative AI for Autonomous Driving: Frontiers and Opportunities
by: Wang, Yuping, et al.
Published: (2025)

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale
by: Zuo, Sicheng, et al.
Published: (2026)

FuzzRisk: Online Collision Risk Estimation for Autonomous Vehicles based on Depth-Aware Object Detection via Fuzzy Inference
by: Liao, Brian Hsuan-Cheng, et al.
Published: (2024)

DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving
by: Zhou, Yang, et al.
Published: (2026)

Behavioral Cloning Models Reality Check for Autonomous Driving
by: Yildirim, Mustafa, et al.
Published: (2024)

LingoQA: Visual Question Answering for Autonomous Driving
by: Marcu, Ana-Maria, et al.
Published: (2023)

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

SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving
by: Zhang, Haiming, et al.
Published: (2025)

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

A Survey on Vision-Language-Action Models for Autonomous Driving
by: Jiang, Sicong, et al.
Published: (2025)

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

DriveCritic: Towards Context-Aware, Human-Aligned Evaluation for Autonomous Driving with Vision-Language Models
by: Song, Jingyu, 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)

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

WAM-Flow: Parallel Coarse-to-Fine Motion Planning via Discrete Flow Matching for Autonomous Driving
by: Xu, Yifang, et al.
Published: (2025)

DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
by: Huang, Zilin, et al.
Published: (2026)

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts
by: Mahjourian, Nazanin, et al.
Published: (2024)

WAM-Diff: A Masked Diffusion VLA Framework with MoE and Online Reinforcement Learning for Autonomous Driving
by: Xu, Mingwang, et al.
Published: (2025)

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling
by: Bartoccioni, Florent, et al.
Published: (2025)

DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving
by: Jiang, Anqing, et al.
Published: (2025)

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving
by: Zhang, Yi, et al.
Published: (2025)

CarFormer: Self-Driving with Learned Object-Centric Representations
by: Hamdan, Shadi, et al.
Published: (2024)

Cross-Cluster Shifting for Efficient and Effective 3D Object Detection in Autonomous Driving
by: Chen, Zhili, et al.
Published: (2024)

Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)
by: Yang, Zhenjie, et al.
Published: (2025)

Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns
by: Yatbaz, Hakan Yekta, et al.
Published: (2024)

A Language Agent for Autonomous Driving
by: Mao, Jiageng, et al.
Published: (2023)

KnowVal: A Knowledge-Augmented and Value-Guided Autonomous Driving System
by: Xia, Zhongyu, et al.
Published: (2025)

Less is More: Lean yet Powerful Vision-Language Model for Autonomous Driving
by: Yang, Sheng, et al.
Published: (2025)

FRED: A Multi-Modal Autonomous Driving Dataset for Flooded Road Environments
by: Malone, Connor, et al.
Published: (2026)

Is VLA Reasoning Faithful? Probing Safety of Chain-of-Causation in Autonomous Driving Models
by: Mayumu, Nicanor, et al.
Published: (2026)

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

Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
by: Mei, Jianbiao, et al.
Published: (2024)

An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving
by: Ji, Tianchen, et al.
Published: (2025)