A survey on multi-sensor fusion based obstacle detection for intelligent ground vehicles in off-road environments-Reference-Cited by-同舟云学术

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A survey on multi-sensor fusion based obstacle detection for intelligent ground vehicles in off-road environments

Published:2020-05 Issue:5 Volume:21 Page:675-692
ISSN:2095-9184
Container-title:Frontiers of Information Technology & Electronic Engineering
language:en
Short-container-title:Front Inform Technol Electron Eng

Author:

Hu Jin-wen^ORCID,Zheng Bo-yin^ORCID,Wang Ce,Zhao Chun-hui,Hou Xiao-lei,Pan Quan,Xu Zhao

Funder

National Natural Science Foundation of China

the Natural Science Foundation of Shaanxi Province, China

the China Postdoctoral Science Foundation

the Fundamental Research Funds for the Central Universities, China

Publisher

Zhejiang University Press

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing

Link

https://link.springer.com/content/pdf/10.1631/FITEE.1900518.pdf

Reference105 articles.

1. Arbanas B, Ivanovic A, Car M, et al., 2018. Decentralized planning and control for UAV-UGV cooperative teams. Auton Robot, 42(8):1601–1618. https://doi.org/10.1007/s10514-018-9712-y

2. Arnold E, Al-Jarrah OY, Dianati M, et al., 2019. A survey on 3D object detection methods for autonomous driving applications. IEEE Trans Intell Trans Syst, 20(10):3782–3795. https://doi.org/10.1109/TITS.2019.2892405

3. Asvadi A, Girão P, Peixoto P, et al., 2016. 3D object tracking using RGB and LIDAR data. IEEE 19th Int Conf on Intelligent Transportation Systems, p.1255–1260. https://doi.org/10.1109/ITSC.2016.7795718

4. Aufrère R, Gowdy J, Mertz C, et al., 2003. Perception for collision avoidance and autonomous driving. Mechatronics, 13(10):1149–1161. https://doi.org/10.1016/S0957-4158(03)00047-3

5. Avidan S, 2004. Support vector tracking. IEEE Trans Patt Anal Mach Intell, 26(8):1064–1072. https://doi.org/10.1109/TPAMI.2004.53

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