Title
Range-Based Collision Prediction For Dynamic Motion
Abstract
Real-time proximity and collision detection via radio distance measurements has application in smart-helmets, drones, autonomous vehicles, and social distancing. In this paper we present a range-based, infrastructure-free, distributed algorithm that utilizes inter-robot range data and intra-robot acceleration data to estimate each robot's recent positions. As the next step, a collision prediction scheme is proposed that uses the derived relative kinematics of each robot to predict an impending collision between any pair of robot. The algorithm is tested and validated with the help of measurement trace-based simulation of motion involving acceleration.
Year
DOI
Venue
2021
10.1109/CCNC49032.2021.9369608
2021 IEEE 18TH ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC)
Keywords
DocType
ISSN
Collision prediction, multidimensional scaling, autonomous vehicles
Conference
2331-9852
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Aarti Singh100.34
Neal Patwari23805241.58