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Robust Object Segmentation Using a Multi-Layer Laser Scanner
- Source :
- Sensors, Vol 14, Iss 11, Pp 20400-20418 (2014), Sensors (Basel, Switzerland), Sensors, Volume 14, Issue 11, Pages 20400-20418
- Publication Year :
- 2014
- Publisher :
- MDPI AG, 2014.
-
Abstract
- The major problem in an advanced driver assistance system (ADAS) is the proper use of sensor measurements and recognition of the surrounding environment. To this end, there are several types of sensors to consider, one of which is the laser scanner. In this paper, we propose a method to segment the measurement of the surrounding environment as obtained by a multi-layer laser scanner. In the segmentation, a full set of measurements is decomposed into several segments, each representing a single object. Sometimes a ghost is detected due to the ground or fog, and the ghost has to be eliminated to ensure the stability of the system. The proposed method is implemented on a real vehicle, and its performance is tested in a real-world environment. The experiments show that the proposed method demonstrates good performance in many real-life situations.
- Subjects :
- Laser scanning
Computer science
business.industry
segmentation
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Stability (learning theory)
lcsh:Chemical technology
Object (computer science)
Biochemistry
Article
Atomic and Molecular Physics, and Optics
Analytical Chemistry
laser scanner
Set (abstract data type)
obstacle detection
advanced driver assistance system (ADAS)
lcsh:TP1-1185
Segmentation
Computer vision
Artificial intelligence
Electrical and Electronic Engineering
business
Instrumentation
Multi layer
Simulation
Subjects
Details
- ISSN :
- 14248220
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....47148c0959ae004f1679f7f551631fdf