Understanding the Robustness of 3D Object Detection with Bird'View Representations in Autonomous Driving

Author:

Zhu Zijian1,Zhang Yichi2,Chen Hai3,Dong Yinpeng2,Zhao Shu3,Ding Wenbo4,Zhong Jiachen4,Zheng Shibao1

Affiliation:

1. Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University

2. Institute for AI, Tsinghua University, BNRist Center,THBI Lab,Dept. of Comp. Sci. and Tech.

3. School of Computer Science and Technology, Anhui University,Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Information Materials and Intelligent Sensing Laboratory of Anhui Province

4. SAIC Motor AI Lab

Funder

National Key Research and Development Program of China

NSFC

STCSM

Publisher

IEEE

Reference66 articles.

1. Boosting Adversarial Attacks with Momentum

2. Dpattack: Diffused patch attacks against universal object detection;wu;ArXiv Preprint,2020

3. SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems

4. Towards a physical-world adversarial patch for blinding object detection models

5. Exploring the landscape of spatial robustness;engstrom;International Conference on Machine Learning,0

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