Deep Learning-Based Multi-scale Multi-object Detection and Classification for Autonomous Driving-Reference-Cited by-同舟云学术

Deep Learning-Based Multi-scale Multi-object Detection and Classification for Autonomous Driving

Published:2019 Issue: Volume: Page:233-242
ISSN:2198-7432
Container-title:Proceedings
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Author:

Fink Maximilian,Liu Ying,Engstle Armin,Schneider Stefan-Alexander

Publisher

Springer Fachmedien Wiesbaden

Link

http://link.springer.com/content/pdf/10.1007/978-3-658-23751-6_20

Reference10 articles.

1. Liu, W., et al.: SSD Single Shot MultiBox Detector (2015)

2. Geiger, A., Lenz, P., Urtasun, R.: Are we ready for autonomous driving? The KITTI vision benchmark suite. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2012)

3. Dollar, P., Wojek, C., Schiele, B., Perona, P.: Pedestrian detection: an evaluation of the state of the art. IEEE Trans. Pattern Anal. Mach. Intell. 34(4), 743–761 (2012)

4. Cameron, O., Higgins, M., Gonzalez, E.: We’re building an open source self-driving car (2016). https://github.com/udacity/self-driving-car . Accessed 09 Sept 2017

5. Trimble, T.E., Bishop, R., Morgan, J.F., Blanco, M.: Human Factors Evaluation of Level 2 And Level 3 Automated Driving Concepts: Past Research, State of Automation Technology, and Emerging System Concepts (2014)

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