Accelerated LiDAR data processing algorithm for self‐driving cars on the heterogeneous computing platform-Reference-Cited by-同舟云学术

Accelerated LiDAR data processing algorithm for self‐driving cars on the heterogeneous computing platform

Published:2020-05-19 Issue:5 Volume:14 Page:201-209
ISSN:1751-8601
Container-title:IET Computers & Digital Techniques
language:en
Short-container-title:IET Computers & Digital Techniques

Author:

Li Wei¹,Liang Jun¹,Zhang Yunquan¹,Jia Haipeng²,Xiao Lin¹,Li Qing¹

Affiliation:

1. Beijing Key Laboratory of Information Service EngineeringBeijing Union UniversityBeijingPeople's Republic of China

2. State Key Laboratory of Computer ArchitectureInstitute of Computing TechnologyChinese Academy of SciencesBeijingPeople's Republic of China

Funder

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cdt.2019.0166

Reference40 articles.

1. Himmelsbach M. vonHundelshausen F. Wünsche H.‐J.: ‘LiDAR‐based perception for offroad navigation’.3. Tagung Aktive Sicherheit durch Fahrerassistenz 2008 pp.1–9

2. Robust Data Fusion With Occupancy Grid

3. Dima C.S. Vandapel N. Hebert M.: ‘Classifier fusion for outdoor obstacle detection’.Proc. IEEE Int. Conf. on Robotics and Automation 2004 (ICRA'04) New Orleans LA USA 2004 vol. 1 pp.665–671

4. Halatci I. Brooks C.A. Iagnemma K.: ‘Terrain classification and classifier fusion for planetary exploration rovers’.2007 IEEE Aerospace Conf. Big Sky MN USA 2007 pp.1–11

5. Fu Z. Almgren M. Landsiedel O. et al.: ‘Online temporal‐spatial analysis for detection of critical events in cyber‐physical systems’.2014 IEEE Int. Conf. on Big Data Washington DC USA 2014 pp.129–134