Abstract
Situational awareness for industrial vehicles is crucial to ensure safety of personnel and equipment. While human drivers and onboard sensors are able to detect obstacles and pedestrians within line-of-sight, in complex environments, initially occluded or obscured dynamic objects can unpredictably enter the path of a vehicle. Right now the driver will continuously observe the pedestrian present while driving. If the driver is in drowsiness may leads to accidents. The main disadvantage in the existing method is driver will continuously observe the pedestrian through manually and the sensors will not give accurate information. The project aims at designing a system which automatically detects the presence of any pedestrians near to the vehicles and controls the vehicle motors and also alerts the pedestrians through buzzer alarm and also using ARM Cortex-A8 Beagle Bone Black processor with USB camera interfaced. We propose a system that integrates a vision-based off board pedestrian tracking subsystem with an onboard localization and navigation subsystem.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
