Abstract
Safe automated driving requires reliable perception sensors with low fault rates. Detecting perception sensor faults before path planning avoids fault propagation through the processing pipeline of automated vehicles. As the basis for further development of fault detection algorithms, the present work presents effects of damaged lidar sensor covers considering scratches, cracks, and holes. We used an automotive lidar, which provides point clouds, and calculated deviations between the lidar points on a target and an ideal plane representing the target to evaluate the effect of damaged covers. Results show that sensor cover damages have an effect on point cloud data.
Original language | English |
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Title of host publication | 2021 IEEE Sensors |
Publisher | IEEE |
Pages | 1-4 |
ISBN (Electronic) | 9781728195018 |
DOIs | |
Publication status | Published - 2021 |
Event | 20th IEEE Sensors: SENSORS 2021 - Virtuell, Australia Duration: 31 Oct 2021 → 4 Nov 2021 |
Conference
Conference | 20th IEEE Sensors |
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Abbreviated title | SENSORS 2021 |
Country/Territory | Australia |
City | Virtuell |
Period | 31/10/21 → 4/11/21 |
Keywords
- lidar
- mechanical damage
- sensor fault
ASJC Scopus subject areas
- Electrical and Electronic Engineering