- author = "Johannes Hansen and Marc Ebner",
- title = "Is depth information and optical flow helpful for visual control?",
- journal = "Bio-Algorithms and Med-Systems",
- year = "2016",
- volume = "12",
- number = "1",
- pages = "9--18",
- month = mar,
- keywords = "genetic algorithms, genetic programming, depth map, optical flow, visual control, ECJ, game play",
- ISSN = "1895-9091",
- publisher = "De Gruyter, Berlin",
-
DOI = "
doi:10.1515/bams-2015-0044",
- size = "10 pages",
- abstract = "The human visual system was shaped through natural evolution. We have used artificial evolution to investigate whether depth information and optical flow are helpful for visual control. Our experiments were carried out in simulation. The task was controlling a simulated racing car. We have used The Open Racing Car Simulator for our experiments. Genetic programming was used to evolve visual algorithms that transform input images (colour, optical flow, or depth information) to control commands for a simulated racing car. We found that significantly better solutions were found when color, depth, and optical flow were available as input together compared with colour, depth, or optical flow alone.",
-
notes = "openCV, torcs
p17 'in our experiments, we found that significantly better results in driving a racing car along its track are obtained when colour, depth, and optical flow are provided together.'",
