An Intelligent Auto Parking System for Vehicles

Abstract

Autoparking assistant systems are a new and very promising area in automotive systems engineering. Since the traffic in modern cities becomes more intense, it is getting harder for a driver. Those systems are necessary for an inexperienced one to find a proper parking slot, or to park in a narrow parking slot without damaging his car or the vehicles around. The implementation of autoparking assistant systems may reduce drivers' stress and make parking generally more comfortable. In addition, such system can be extremely useful for senior or disabled people or for drivers with reduced mobility. The implementation of autoparking assistant systems may increase the safety of the parking, and therefore the development of such systems is a highly-demanded task. We introduce an intelligent autoparking system that automatically generates trajectory for parking using a fuzzy logic. This paper consists of three parts. In first part we introduce trajectory generation method for parallel parking without collisions. Fuzzy-logic based trajectory generation algorithm is described in second part. Experimental results presented in the third part of the paper prove effectiveness of the proposed method.

A Review on Driving Control Issues for Smart Electric Vehicles

“…In the following phase, the vehicle position changes in response to steering angle changes, which are controlled by the steering motor. The tracking controller controls the action of the steering motor in accordance with the steering law's variables of direction, velocity, and time [100].…”

“…Center and Scale Prediction (CSP) achieves M R −2 of 4.5%. Automatic Parking Ultrasonic sensor, Brake sensor [100], [102] During parallel parking activities, the initial parking assist system was designed to assist the driver by providing a beeping warning sound. To calculate the range from vehicles and objects, parking assist systems utilize ultrasonic sensors.…”

Camera Based Parking Slot Detection for Autonomous Parking

“…Techniques based on Lidar sensors [1] analyze point cloud data to check for the presence of obstacles and suitability of available space for parking based on the dimensions of the subject vehicle. Ultrasonic range finder sensors, associated with wheel encoder, [2][3][4] measure the free space information as the vehicle navigates while searching for a suitable location. These techniques can find a suitable free space for parking but have limitations in providing the accurate markings and boundary of the parking slot.…”

Linear model predictive control of automatic parking path tracking with soft constraints

“…[1][2][3][4] Similarly, the APS mainly consists of three parts: environment perception, path planning, 5 and path tracking. 6,7 The architecture of APS is shown in Figure 1. The APS controller obtains the information of parking slot and obstacles through the environmental perception section which includes various sensors, such as ultrasonic sensors, camera, wheel speed sensor, and steering angle sensor (Part I in Figure 1).…”