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Abstract

Time-To-Failure Modelling in On-Chip LiDAR Sensors for Automotive Applications

1
Centre for Automation and Robotics, Technical University of Madrid-Spanish National Research Council (UPM-CSIC), Arganda del Rey 28500, Spain
2
Research Center of Advanced and Sustainable Manufacturing, University of Matanzas (UM), Matanzas 44100, Cuba
*
Author to whom correspondence should be addressed.
Presented at the 5th International Symposium on Sensor Science (I3S 2017), Barcelona, Spain, 27–29 September 2017.
Proceedings 2017, 1(8), 809; https://doi.org/10.3390/proceedings1080809
Published: 29 November 2017
Note: In lieu of an abstract, this is an excerpt from the first page.

In general, when forward-looking on-chip LiDAR is considered, the role of these sensors in vehicle collision avoidance is very important. [...]
MDPI and ACS Style

Castaño, F.; Beruvides, G.; Haber, R.E.; Villalonga, A. Time-To-Failure Modelling in On-Chip LiDAR Sensors for Automotive Applications. Proceedings 2017, 1, 809. https://doi.org/10.3390/proceedings1080809

AMA Style

Castaño F, Beruvides G, Haber RE, Villalonga A. Time-To-Failure Modelling in On-Chip LiDAR Sensors for Automotive Applications. Proceedings. 2017; 1(8):809. https://doi.org/10.3390/proceedings1080809

Chicago/Turabian Style

Castaño, Fernando, Gerardo Beruvides, Rodolfo E. Haber, and Alberto Villalonga. 2017. "Time-To-Failure Modelling in On-Chip LiDAR Sensors for Automotive Applications" Proceedings 1, no. 8: 809. https://doi.org/10.3390/proceedings1080809

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