Testing and Validation of Automotive Point-Cloud Sensors in Adverse Weather Conditions
Source abstract
Abstract
Light detection and ranging sensors (LiDARS) are the most promising devices for range sensing in automated cars and therefore, have been under intensive development for the last five years. Even though various types of resolutions and scanning principles have been proposed, adverse weather conditions are still challenging for optical sensing principles. This paper investigates proposed methods in the literature and adopts a common validation method to perform both indoor and outdoor tests to examine how fog and snow affect performances of different LiDARs. As suspected, the performance degraded with all tested sensors, but their behavior was not identical.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Optical Sensing Technologies · Remote Sensing and LiDAR Applications · Icing and De-icing Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
VTT Technical Research Centre of Finland, P.O. Box 1300, FI-33101 Tampere, Finland
Funding
Electronic Components and Systems for European Leadership
References (13)
Show source-provided references
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