Abstract
This paper presents the design and development of a technique for an Autonomous and Versatile mode Parking System (AVPS) that combines a various number of parking modes. The proposed approach is different from that of many developed parking systems. Previous research has focused on choosing only a parking lot starting from two parking modes (which are parallel and perpendicular). This research aims at developing a parking system that automatically chooses a parking lot starting from four parking modes. The automatic AVPS was proposed for the car-parking control problem, and could be potentially exploited for future vehicle generation. A specific mode can be easily computed using the proposed strategy. A variety of candidate modes could be generated using one developed real time VHDL (VHSIC Hardware Description Language) algorithm providing optimal solutions with performance measures. Based on simulation and experimental results, the AVPS is able to find and recognize in advance which parking mode to select. This combination describes full implementation on a mobile robot, such as a car, based on a specific FPGA (Field-Programmable Gate Array) card. To prove the effectiveness of the proposed innovation, an evaluation process comparing the proposed technique with existing techniques was conducted and outlined.
Highlights
Nowadays, automatic parking systems function as an important component for new vehicle generations
Before starting the presentation of the proposed AVPS developed system, we have studied a number of automatic parking systems of vehicles in the literature that have been developed by researchers in the field of automatic parking systems
Unlike the previous research that focused on choosing a parking lot starting from two parking modes, this research aims at developing a parking system that automatically chooses a parking lot starting from four parking modes
Summary
Automatic parking systems function as an important component for new vehicle generations. The need to introduce an Autonomous and Versatile mode Parking System (AVPS) for the parking of future vehicles was the main motivation of this paper. Before starting the presentation of the proposed AVPS developed system, we have studied a number of automatic parking systems of vehicles in the literature that have been developed by researchers in the field of automatic parking systems. Authors in [1] focused their research on the parallel motion planning using Poissondisk sampling. The paper deals with a rapidly exploring-random-tree-based parallel motion planning algorithm that uses the maximal Poisson-disk sampling scheme. In paper [2], authors resolved the problem of generating a smooth parallel parking maneuver for autonomous car-like vehicles and formulated the problem in a point-to-ray framework connecting the parking position to all points in a neighborhood of the intermediate point. The proposed method was validated using a double-tracked Ackermann steering vehicle model
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