Buchumschlag

Searching Realistic-Looking Adversarial Objects For Autonomous Driving Systems

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Sun, Shengxiang, Zhu, Shenzhe
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computer Vision and Pattern Recognition Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems
von: Xie, Wenjing, et al.
Veröffentlicht: (2023)

Transient Adversarial 3D Projection Attacks on Object Detection in Autonomous Driving
von: Zhou, Ce, et al.
Veröffentlicht: (2024)

AD$^2$: Analysis and Detection of Adversarial Threats in Visual Perception for End-to-End Autonomous Driving Systems
von: Sahu, Ishan, et al.
Veröffentlicht: (2026)

Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving
von: Zhang, Tianyuan, et al.
Veröffentlicht: (2024)

Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving
von: Wang, Lu, et al.
Veröffentlicht: (2025)

Adversarial Flow Matching for Imperceptible Attacks on End-to-End Autonomous Driving
von: Zeng, Xinyu, et al.
Veröffentlicht: (2026)

Real-Time Incremental Explanations for Object Detectors in Autonomous Driving
von: Calderón-Peña, Santiago, et al.
Veröffentlicht: (2024)

Data Shift of Object Detection in Autonomous Driving
von: Xu, Lida
Veröffentlicht: (2025)

Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous Driving
von: Shekhar, Prashant, et al.
Veröffentlicht: (2025)

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

Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology
von: Ji, Yatai, et al.
Veröffentlicht: (2025)

On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving
von: Rossolini, Giulio, et al.
Veröffentlicht: (2022)

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

SUSTechGAN: Image Generation for Object Detection in Adverse Conditions of Autonomous Driving
von: Lan, Gongjin, et al.
Veröffentlicht: (2024)

Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving
von: Lou, Yang, et al.
Veröffentlicht: (2023)

A Real-Time Defense Against Object Vanishing Adversarial Patch Attacks for Object Detection in Autonomous Vehicles
von: Mu, Jaden
Veröffentlicht: (2024)

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge
von: Liu, Linshen, et al.
Veröffentlicht: (2025)

Towards Camera Open-set 3D Object Detection for Autonomous Driving Scenarios
von: He, Zhuolin, et al.
Veröffentlicht: (2024)

Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving Safety
von: Shriram, Shashank, et al.
Veröffentlicht: (2025)

Towards Robust Unsupervised Attention Prediction in Autonomous Driving
von: Qi, Mengshi, et al.
Veröffentlicht: (2025)

Drive-KD: Multi-Teacher Distillation for VLMs in Autonomous Driving
von: Lian, Weitong, et al.
Veröffentlicht: (2026)

Cheating Stereo Matching in Full-scale: Physical Adversarial Attack against Binocular Depth Estimation in Autonomous Driving
von: Zhao, Kangqiao, et al.
Veröffentlicht: (2025)

Invisible Triggers, Visible Threats! Road-Style Adversarial Creation Attack for Visual 3D Detection in Autonomous Driving
von: Wang, Jian, et al.
Veröffentlicht: (2025)

Physically Realistic Sequence-Level Adversarial Clothing for Robust Human-Detection Evasion
von: Zhou, Dingkun, et al.
Veröffentlicht: (2025)

AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving
von: Liang, Mingfu, et al.
Veröffentlicht: (2024)

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving
von: Wu, Yuzhi, et al.
Veröffentlicht: (2024)

Adversarial Attack for RGB-Event based Visual Object Tracking
von: Chen, Qiang, et al.
Veröffentlicht: (2025)

Fractured Glass, Failing Cameras: Simulating Physics-Based Adversarial Samples for Autonomous Driving Systems
von: Prabhakar, Manav, et al.
Veröffentlicht: (2024)

Towards Efficient 3D Object Detection in Bird's-Eye-View Space for Autonomous Driving: A Convolutional-Only Approach
von: Li, Yuxin, et al.
Veröffentlicht: (2023)

YOLO-PPA based Efficient Traffic Sign Detection for Cruise Control in Autonomous Driving
von: Zhang, Jingyu, et al.
Veröffentlicht: (2024)

O-DisCo-Edit: Object Distortion Control for Unified Realistic Video Editing
von: Chen, Yuqing, et al.
Veröffentlicht: (2025)

YCDa: YCbCr Decoupled Attention for Real-time Realistic Camouflaged Object Detection
von: Zheng, PeiHuang, et al.
Veröffentlicht: (2026)

Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review
von: Yao, Shanliang, et al.
Veröffentlicht: (2023)

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

FROST-Drive: Scalable and Efficient End-to-End Driving with a Frozen Vision Encoder
von: Dong, Zeyu, et al.
Veröffentlicht: (2026)

SearchAD: Large-Scale Rare Image Retrieval Dataset for Autonomous Driving
von: Embacher, Felix, et al.
Veröffentlicht: (2026)

Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection
von: Pan, Jiancheng, et al.
Veröffentlicht: (2025)

Transient Fault Tolerant Semantic Segmentation for Autonomous Driving
von: Iurada, Leonardo, et al.
Veröffentlicht: (2024)

Exploring Camera Encoder Designs for Autonomous Driving Perception
von: Lakshmanan, Barath, et al.
Veröffentlicht: (2024)

Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials
von: Fang, Ye, et al.
Veröffentlicht: (2024)