Nighttime Vehicle Detection for Heavy Trucks-Reference-Cited by-同舟云学术

Nighttime Vehicle Detection for Heavy Trucks

Published:2015 Issue: Volume: Page:164-175
ISSN:0302-9743
Container-title:Internet of Vehicles - Safe and Intelligent Mobility
language:
Short-container-title:

Author:

Zhang Zhijuan,Chen Hui,Xiao Zhiguang,Chen Linlin,Klette Reinhard

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-27293-1_15

Reference13 articles.

1. Yen-Lin, C., Chuan-Yen, C.: Embedded vision-based nighttime driver assistance system. In: Proceedings of IEEE International Conference on Transactions of Computer Communication Control and Automation, pp. 199–200 (2010)

2. Guo, J.B., Wang, J.Q.: Vehicle detection in nighttime based on monocular vision. Automot. Eng. 36, 574–585 (2014). (in Chinese)

3. Klette, R.: Concise Computer Vision. Springer, London (2014)

4. Klette, R.: Vision-based driver assistance systems. Webster, J. (ed.), Wiley Encyclopedia Electrical Electronics Engineering (2015). doi: 10.1002/047134608X.W8272

5. Kumar, U.: Vehicle detection in monocular night-time grey-level videos. In: Proceedings of IEEE International Conference on Image Vision Computing New Zealand, pp. 214–219 (2013)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Examination of the vehicle light intensity in terms of road traffic safety: a case study;The Archives of Automotive Engineering – Archiwum Motoryzacji;2018-09-28

2. Real-Time Line Marker Detection for Night-Time Blind Spot Monitoring System in Suburb Area;Lecture Notes in Electrical Engineering;2016