Multi-Target State and Extent Estimation for High Resolution Automotive Sensor Detections

Abstract

This paper discusses the perception and tracking of individual as well as group targets as applied to multi-lane public traffic. Target tracking problem is formulated as a two hierarchical layer problem—on the first layer, a multi-target tracking problem based on multiple detections is distinguished in the measurement space, and on the second (top) layer, group target tracking with birth and death as well as merging and splitting of group target tracks as they evolve in a dynamic scene is represented. This configuration enhances the multi-target tracking performance in situations including but not limited to target initialization(birth), target occlusion, missed detections, unresolved measurement, target maneuver, etc. In addition, group tracking exposes complex individual target interactions to help in situation assessment which is challenging to capture otherwise.

Enhance Auto and Cross-Correlation Properties to Detect Multiple Moving Targets in Radar using the Booths Algorithm

“…Where 'S Av f c 'is the sum of all values of the fundamental code represented in equation (1). Therefore from equation ( 13), the value of 'S Av f c ' = 30.…”

“…where'D BP ' is the decimal value of the bit position in a codeword up to which complement needs to be done and 'I f int.str ' is the initial decimal value of the string represented in equation (1). Hence the modified 16-bit codeword can be represented as…”

“…Thus the research community focused to work in the field of radar engineering to enhances surveillance systems to detect the target as it is the only equipment to investigate targets. Several theories and models (1,2) (i.e. range gate, finding auto and cross-correlation of PN code, minimization of noise, and https://www.indjst.org/ windowing technique) have been explored to detect the position of the target.…”