Obstacle Detection using a Time of Flight Range Camera
Autor: | Carlos Fernandez Andres, Pedro Javier Navarro Lorente, Leanne Rebecca Miller, Antonio Ros Garcia |
---|---|
Rok vydání: | 2018 |
Předmět: |
Time-of-flight camera
Cover (telecommunications) Computer science business.industry Blind spot 010401 analytical chemistry Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Object detection 0104 chemical sciences Time of flight Histogram Obstacle Computer vision Artificial intelligence 0210 nano-technology business |
Zdroj: | ICVES |
DOI: | 10.1109/icves.2018.8519501 |
Popis: | The objective of this work consisted in the design, implementation and evaluation of a robust object detection system, using only information acquired by a Time of Flight (ToF) camera. For object detection and discrimination against other elements that may appear in the scene, different descriptors and classifiers have been studied. To evaluate the algorithm, images obtained with the Sentis3D-M420 Time of Flight camera of the DSIE research group of the Polytechnic University of Cartagena have been used. The system has been designed to cover the blind spot area of a vehicle or integrated as part of an autonomous driving system. |
Databáze: | OpenAIRE |
Externí odkaz: |