Improvement in Target Range Estimation and the Range Resolution Using Drone

Abstract

This study measured the speed of a moving vehicle in multiple lanes using a drone. The existing methods for measuring a vehicle’s speed while driving on the road measure the speed of moving automobiles by means of a sensor that is mounted on a structure. In another method, a person measures the speed of a vehicle at the edge of a road using a speed-measuring tool. The existing method for measuring a vehicle’s speed requires the installation of a gentry-structure; however, this produces a high risk for traffic accidents, which makes it impossible to measure a vehicle’s speed in multiple lanes at once. In this paper, a method that used a drone to measure the speed of moving vehicles in multiple lanes was proposed. The suggested method consisted of two LiDAR sets mounted on the drone, with each LiDAR sensor set measuring the speed of vehicles moving in one lane; that is, estimating the speed of moving vehicles in multiple lanes was possible by moving the drone over the road. The proposed method’s performance was compared with that of existing equipment in order to measure the speed of moving vehicles using the manufactured drone. The results of the experiment, in which the speed of moving vehicles was measured, showed that the Root Mean Square Error (RMSE) of the first lane and the second lane was 3.30 km/h and 2.27 km/h, respectively. The vehicle detection rate was 100% in the first lane. In the second lane, the vehicle detection rate was 94.12%, but the vehicle was not detected twice in the experiment. The average vehicle detection rate is 97.06%. Compared with the existing measurement system, the multi-lane moving vehicle speed measurement method that used the drone developed in this study reduced the risk of accidents, increased the convenience of movement, and measured the speed of vehicles moving in multiple lanes using a drone. In addition, it was more efficient than current measurement systems because it allowed an accurate measurement of speed in bad environmental conditions.

Advancing Drone Swarm Simulation: A Comprehensive System for Real-Time Control and Dynamic Interaction

“…The environment in which the drones operate is not static. It consists of elements such as moving obstacles and multiple drones, which adds complexity and challenges for the swarm to navigate [7].…”

Efficient Intelligent Smart Ambulance Transportation System using Internet of Things

“…Traffic metrics such as vehicle flow, average vehicle speed, obstruction detection, and deadlock are identified in this work. According to Li [19], UAVs may be fitted with two sets of LiDAR, each of which is capable of measuring the speed of moving cars in a single lane. As a result, both sets may be combined to assess the speed of moving vehicles in multiple lanes.…”

A Study on Distance Measurement Module for Driving Vehicle Velocity Estimation in Multi-Lanes Using Drones

“…The two LiDAR sensors are assigned to one lane and each sensor detects the vehicle by radiating each front/rear point. The distance (L) between the two measurement points is changed according to the flying height of the drone and the distance is calculated by Equation ( 1) [26]. The distance between the two measuring points is expressed as follows:…”