Towards Robust Certification of Computer-Vision-Based Detect and Avoid in UAS

被引：0
作者：
Sridhar, Rahul [1 ]
Murphy, Michael [2 ]
Lamprecht, Andreas [3 ]
机构：
[1] Texas A&M Univ, Dept Comp Sci, College Stn, TX 77843 USA
[2] AirMap, Adv Operat Grp, Santa Monica, CA USA
[3] AirMap, Adv Operat Grp, Munich, Germany
来源：
2020 AIAA/IEEE 39TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC) PROCEEDINGS | 2020年
关键词：
Detect and Avoid; Unmanned Aircraft Systems; Computer Vision;
D O I：
10.1109/dasc50938.2020.9256697
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Computer-vision-based Detect and Avoid (DAA) promises to enable large-scale unmanned BVLoS drone flights in the near future, which would have enormous economic benefits. However, quite a bit of work remains to be done before it can be certified. We describe AirMap's ongoing research into computer-vision-based DAA.
引用
收藏
页数：5
相关论文
共 7 条
[1]  
Bian X., ARXIV200106303
[2]   Deformable Convolutional Networks [J].
Dai, Jifeng ;
Qi, Haozhi ;
Xiong, Yuwen ;
Li, Yi ;
Zhang, Guodong ;
Hu, Han ;
Wei, Yichen .
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2017, :764-773
[3]   Focal Loss for Dense Object Detection [J].
Lin, Tsung-Yi ;
Goyal, Priya ;
Girshick, Ross ;
He, Kaiming ;
Dollar, Piotr .
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2017, :2999-3007
[4]   Feature Pyramid Networks for Object Detection [J].
Lin, Tsung-Yi ;
Dollar, Piotr ;
Girshick, Ross ;
He, Kaiming ;
Hariharan, Bharath ;
Belongie, Serge .
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017), 2017, :936-944
[5]   An Analysis of Scale Invariance in Object Detection - SNIP [J].
Singh, Bharat ;
Davis, Larry S. .
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2018, :3578-3587
[6]   FCOS: Fully Convolutional One-Stage Object Detection [J].
Tian, Zhi ;
Shen, Chunhua ;
Chen, Hao ;
He, Tong .
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), 2019, :9626-9635
[7]  
Xiaohua Zhai, 2019, ARXIV191004867V2
1