Recognition of Intent Using Light Detection and Ranging

Abstract

Object detection has been a prominent area of research since the introduction of machine learning. Light Detection and Ranging (LIDAR) is a new high-resolution earth space information technology with features such as a fast data production cycle, moderate climate impact, and high degree of automation and so on. These sensors form a host of information points that can be used to detect barriers in their environment during their short scanning cycles. These sensors have short scanning cycles that create many points with data that can be used to recognize potential hazards in the area. Although data collection, key findings, and filtering of sound or road markers are difficult tasks, they must be reliable and accurate. This paper represents a development of a proto-model of a 3-D LIDAR imaging system for short-range military and surveillance applications by using point cloud measurements.