Abstract
Most traffic accidents are caused by drivers' carelessness and lack of information regarding surrounding objects. This paper proposes a model of human intention recognition using case-base learning to construct an experimental system. The system can help us recognize object's intentions (e.g. turn left, turn right or go straight) by using detected data about human's motions, speed of the car and the distance between the car and the intersection.
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 callDisclaimer: 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.
