TIRNet: Object detection in thermal infrared images for autonomous driving-Reference-Cited by-同舟云学术

TIRNet: Object detection in thermal infrared images for autonomous driving

Published:2020-09-19 Issue:3 Volume:51 Page:1244-1261
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Dai Xuerui^ORCID,Yuan Xue,Wei Xueye

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-020-01882-2.pdf

Reference52 articles.

1. Geiger A, Lenz P, Urtasun R (2012) Are we ready for autonomous driving? The KITTI Vision Benchmark Suite. In: 2012 IEEE conference on computer vision and pattern recognition (CVPR), IEEE

2. Sivaraman S, Trivedi MM (2013) A review of recent developments in vision-based vehicle detection. 2013 IEEE Intelligent Vehicles Symposium (IV), IEEE

3. Hu Qichang, et al. (2015) Fast detection of multiple objects in traffic scenes with a common detection framework. IEEE Trans Intel Transport Syst 17.4:1002–1014

4. Wang Z, Liu J (2017) A review of object detection based on convolutional neural network. In: Control conference

5. Biswas SK, Milanfar P (2017) Linear support tensor machine with LSK channels: pedestrian detection in thermal infrared images. IEEE Trans Image Process 26.9:4229–4242

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