Abstract
In this paper, we propose a method to evaluate Highway Driving Assist (HDA) systems using the theoretical formula and dual cameras, which eliminates the need of experts or expensive equipment and reduces the time, effort, and cost required in such tests. A theoretical evaluation formula that can be calculated was proposed and used. The optimal position of the dual cameras, image and focal length correction, and lane detection methods proposed in previous studies were used, and a theoretical equation for calculating the distance from the front wheel of the vehicle to the driving lane was proposed. For the actual vehicle testing, HDA safety evaluation scenarios proposed in previous studies were used. According to the test results, the maximum errors were within 10%. It was determined that the representative cause of the maximum error occurred in the dual camera installed in the test vehicle. Problems such as road surface vibration, shaking due to air resistance, changes in ambient brightness, and the process of focusing the video occurred during driving. In the future, it is judged that it will be necessary to verify the complex transportation environment during morning and evening rush hour, and it is believed that tests will be needed in bad weather such as snow and rain.
Highlights
The Highway Driving Assist (HDA) scenario and dual camera installation location proposed in the preceding study were used
Scenarios 2, 7, and 13 failed to conduct the test according to the non-implementation of functions according to HDA level 1 and the behavior of nearby vehicles
In the section corresponding to each scenario, the calculation was performed using the proposed relative distance formula to the lead vehicle
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Interest in autonomous vehicles has been increasing worldwide. An autonomous vehicle refers to a vehicle that operates on its own without a driver’s manipulation [1,2,3,4,5,6]. The classification of autonomous driving technology is divided into six stages, from level 0 to level 5, from J3016 published by the Society of Automotive Engineers
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