IUPUI Driving Videos and Images in All Weather and Illumination Conditions

Zheng, Jiang Yu

arXiv.org Artificial Intelligence 

Implementing tasks of public safety often involves driving a vehicle, whether that vehicle is a patrol car for law enforcement or an emergency vehicle at an accident site. Vehicle borne cameras record scenes and events along the routes for real‐time driving assistance, road status monitoring, evidence searching, accident analysis, event investigation, etc. Computer vision for driving tasks must understand road conditions regardless of the weather, time, season, and location. Current vision algorithms and tools have not been able to manage all the scenarios of automated driving. Many of the developed sensing algorithms were tested in good weather and under ideal illumination conditions. The development of autonomous driving has moved away from the computer vision approach to other sensors such as LiDAR because of computer vision's failure in adverse weather and under poor illumination conditions.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found