Citation

Chaudhary A, Klette R, Raheja JL, Jin X. EURASIP J. Image Video Proces. 2017; 2017(1): e16.

Copyright

(Copyright © 2017, The author(s), Publisher Holtzbrinck Springer Nature Publishing Group)

DOI

10.1186/s13640-017-0166-5

PMID

unavailable

Abstract

The importance of road safety has brought technologies from different disciplines into vehicles, to make them more intelligent and more secure to drive. Computer vision has helped in many areas for better services and to fasten the process. Road transport and traffic management are such areas where robust visual techniques are highly advantageous, and they are used increasingly to automate dedicated tasks. Computer vision started to be implemented in on-road vehicles and shows capabilities in the context of road safety such that transportation becomes safer, comfortable, and easy. Vision can help in smoothening traffic, predicting collisions and blind spots on roads. Also, it can help in a driverless mode in the car driving in case of emergency. Some companies have already launched cars which are having vision-based capabilities that are helpful in making a decision on the road. Researchers use vision-based processing in traffic management and traffic surveillance. There are very good prospects that this development will intensify and widen in the near future.

This special issue covers a range of topics in road safety that have captured high attention and interest of the research community in recent years. The topics include efficient vehicle detection to driver awareness checking. This special issue concerns computer vision subjects in automated solutions for road safety, but also for the cases where the human factor involved in transportation and safety systems plays a significant role. This issue is an effective source for researchers to see latest results and findings on traffic-related issues, new ideas, and directions for future development...

Language: en