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Recently, multi-agent collaborative (MAC) perception has been proposed and outperformed the traditional single-agent perception in many applications, such as autonomous driving.
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A multi agent system architecture to implement collaborative learning for social industrial assets
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Physical adversarial examples for object detectors
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Exploring the vulnerability of single shot module in object detectors via imperceptible background patches
Yuezun Li, Xiao Bian, Ming-Ching Chang, and Siwei Lyu · 2018
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Xin Liu, Huanrui Yang, Linghao Song, Hai Li, and Yiran Chen · 2018
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Yoshiyasu Takefuji · 2018
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Tadas Baltrusaitis, Chaitanya Ahuja, and Louis-Philippe Morency · 2019
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Pointpillars: Fast encoders for object detection from point clouds
Alex H Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
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Long-range lidar and free-space data communication with high-performance optical phased arrays
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Distributed learning in wireless networks: Recent progress and future challenges
Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, and H Vincent Poor · 2021
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Naturalistic physical adversarial patch for object detectors
Yu-Chih-Tuan Hu, Jun-Cheng Chen, Bo-Han Kung, Kai-Lung Hua, and Daniel Stanley Tan · 2021
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Learning distilled collaboration graph for multi-agent perception
Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, and Wenjun Zhang · 2021
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Adversarial attacks on multi-agent communication
J. Tu, T. Wang, J. Wang, S. Manivasagam, M. Ren, and R. Urtasun · 2021
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Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl · 2021
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Blueprint for an AI bill of rights, 2022
the White House OSTP · 2022
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Jangirala Srinivas, Ashok Kumar Das, and Neeraj Kumar · 2019
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Fooling automated surveillance cameras: Adversarial patches to attack person detection
Simen Thys, Wiebe Van Ranst, and Toon Goedeme · 2019
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Seeing isn’t believing: Towards more robust adversarial attack against real world object detectors
Yue Zhao, Hong Zhu, Ruigang Liang, Qintao Shen, Shengzhi Zhang, and Kai Chen · 2019
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When2com: Multi-agent perception via communication graph grouping
Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, and Zsolt Kira · 2020
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Searching efficient 3d architectures with sparse point-voxel convolution
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, and Song Han · 2020
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V2vnet: Vehicle-to-vehicle communication for joint perception and prediction
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, and Raquel Urtasun · 2020
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Adversarial t-shirt! evading person detectors in a physical world
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, and Xue Lin · 2020
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Occupant Protection for Vehicles With Automated Driving Systems
Federal Register · 2022
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V2x-vit: Vehicle-to-everything cooperative perception with vision transformer
Runsheng Xu, Hao Xiang, Zhengzhong Tu, Xin Xia, Ming-Hsuan Yang, and Jiaqi Ma · 2022
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Dair-v2x: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection
Haibao Yu, Yizhen Luo, Mao Shu, Yiyi Huo, Zebang Yang, Yifeng Shi, Zhenglong Guo, Hanyu Li, Xing Hu, Jirui Yuan, et al · 2022
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A tri-layer plugin to improve occluded detection
Guanqi Zhan, Weidi Xie, and Andrew Zisserman · 2022
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Among us: Adversarially robust collaborative perception by consensus
Yiming Li, Qi Fang, Jiamu Bai, Siheng Chen, Felix Juefei-Xu, and Chen Feng · 2023
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Tutorial 9: Deep Autoencoders
Phillip Lippe · 2023
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Collaborative perception for autonomous driving: Current status and future trend
Shunli Ren, Siheng Chen, and Wenjun Zhang · 2023
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On data fabrication in collaborative vehicular perception: Attacks and countermeasures
Qingzhao Zhang, Shuowei Jin, Ruiyang Zhu, Jiachen Sun, Xumiao Zhang, Qi Alfred Chen, and Z. Morley Mao · 2024
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