Obstacle & Lane Detection and Local Path Planning for IGVC Robotic Vehicles Using Stereo Vision

Autor:	Chris Kawatsu, Chan-Jin Chung, Jiaxing Li
Rok vydání:	2014
Předmět:	business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION law.invention Stereopsis Lidar law Obstacle Obstacle avoidance Computer vision Lane detection Motion planning Artificial intelligence Radar Image sensor business
Zdroj:	Robot Intelligence Technology and Applications 2 ISBN: 9783319055817 RiTA
DOI:	10.1007/978-3-319-05582-4_57
Popis:	A robotic car, also known as a driverless or self-driving car, is an autonomous vehicle capable of sensing its environment and navigating itself without human input. Robotic cars exist mainly as prototypes and demonstration systems, but are likely to become more widespread in the near future. Usually, autonomous vehicles sense their surroundings for lane detection and obstacle avoidance with radar, 2D LIDAR, 3D LIDAR, and camera sensors.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d3f41ad26f02bc779aca8c56f90094e9 https://doi.org/10.1007/978-3-319-05582-4_57 Zobrazit plný text záznamu