Implementation of a Semi-Active Parking Assistance System

2012 ◽  
Vol 433-440 ◽  
pp. 6717-6721
Author(s):  
Mohammad Kiyanfar ◽  
Mojtaba Ghodsi ◽  
Adel Akbarimajd

This paper presents a novel approach to solve semi-active non-holonomic vehicle-parking assistant problem. This system can be automatically drive a vehicle and can be used during day or and night. A robust algorithm for this system is developed and embedded controller hardware is designed and programmed to parallel parking maneuver. In this approach, infrared distance sensor is mounted on the car to find parking space, localize the vehicle position and avoid obstacles. Experimental and simulation results show good performance in the algorithm for parking system under parallel parking. Parking maneuver is safer and efficient through using these advanced safety techniques for parking. Simulation results obtained with the presented system are applied for semi-active parking assistance system.

Author(s):  
K Jiang ◽  
D Z Zhang ◽  
L D Seneviratne

An automated parallel parking strategy for a car-like mobile robot is presented. The study considers general cases of parallel parking for a rectangular robot within a rectangular space. The system works in three phases. In scanning phase the parking environment is detected by ultrasonic sensors mounted on the robot and a parking position and manoeuvring path is produced if the space is sufficient. Then in the positioning phase the robot reverses to the edge of the parking space, avoiding potential collisions. Finally, in manoeuvring phase the robot moves to the parking position in the parking space in a unified pattern, which may require backward and forward manoeuvres depending on the dimensions of the parking space. Motion characteristics of this kind of robot are modelled, taking into account the non-holonomic constraints acting on the car-like robot. On the basis of the characteristics, a collision-free path is planned in reference to the surroundings. The strategy has been integrated into an automated parking system and implemented in a modified B12 mobile robot capable of safe parking in tight situations. The system is developed for an automated parking device to help vehicle drivers. It also shows the potential to be integrated into automobiles.


Author(s):  
Singgih Bima Prakoso

Abstract - This study will focus on the design of automatic parallel parking systems. The parking system is designed for small cars that use Arduino Mega 2560, HC-SR04 ultrasonic sensor, optocoupler, DC motor and servomotor. The ultrasonic sensor and optocoupler SR-04 is the input (input) of this system that will be processed by the ATmega 2560 microcontroller. Each input will be processed by the microcontroller to determine the amplitude and direction of rotation of the servomotor in driving the car. This automatic parking system starts when the vehicle searches for a parking space that matches the specified size, and then maneuvers into the parking space. The work cycle of the PWM is the main element of speed control of a DC motor. The results of testing the system in stages starting from the forward detecting the parking space until backwards to do the parking process is done to get the size of the parking space as well as the ideal distance for parking as a whole which is ± 70 cm and ± 35 cm wide. The results showed that, first, the automatic parking system for parallel parking left and right worked well with an average success rate of 80% for space detection and 48% for left parking, 85% for space detection and 45% for parking at right side to finish with a size of 70 cm of parking space and 35 cm wide. Keyword : automatic parking, parallel parking left and right, counter parking


Author(s):  
Supriya Raheja

Background: The extension of CPU schedulers with fuzzy has been ascertained better because of its unique capability of handling imprecise information. Though, other generalized forms of fuzzy can be used which can further extend the performance of the scheduler. Objectives: This paper introduces a novel approach to design an intuitionistic fuzzy inference system for CPU scheduler. Methods: The proposed inference system is implemented with a priority scheduler. The proposed scheduler has the ability to dynamically handle the impreciseness of both priority and estimated execution time. It also makes the system adaptive based on the continuous feedback. The proposed scheduler is also capable enough to schedule the tasks according to dynamically generated priority. To demonstrate the performance of proposed scheduler, a simulation environment has been implemented and the performance of proposed scheduler is compared with the other three baseline schedulers (conventional priority scheduler, fuzzy based priority scheduler and vague based priority scheduler). Results: Proposed scheduler is also compared with the shortest job first CPU scheduler as it is known to be an optimized solution for the schedulers. Conclusion: Simulation results prove the effectiveness and efficiency of intuitionistic fuzzy based priority scheduler. Moreover, it provides optimised results as its results are comparable to the results of shortest job first.


Author(s):  
Lei Si ◽  
Zhongbin Wang ◽  
Xinhua Liu

In order to accurately and conveniently identify the shearer running status, a novel approach based on the integration of rough sets (RS) and improved wavelet neural network (WNN) was proposed. The decision table of RS was discretized through genetic algorithm and the attribution reduction was realized by MIBARK algorithm to simply the samples of WNN. Furthermore, an improved particle swarm optimization algorithm was proposed to optimize the parameters of WNN and the flowchart of proposed approach was designed. Then, a simulation example was provided and some comparisons with other methods were carried out. The simulation results indicated that the proposed approach was feasible and outperforming others. Finally, an industrial application example of mining automation production was demonstrated to verify the effect of proposed system.


Author(s):  
Nikolai Moshchuk ◽  
Shih-Ken Chen

Parallel parking can be a difficult task for novice drivers or drivers who seldom drive in congested city where parking space is limited. Parking Assist is an innovative system designed to aid the driver in performing sometimes difficult parallel parking maneuvers. Many companies are developing such systems with major automakers, such as Valeo, Aisin Seiki, Hella, Robert Bosch, and TRW. For example, Toyota IPA (Intelligent Parking Assist) system uses a rear view camera and automatically steer the vehicle into the parking spot with driver controlling braking. This paper describes the development of parking path planning strategies based on available parking space. A virtual turn center will first be defined and derived based on vehicle configuration. Required parking space for one or two cycle parking maneuver will then be determined. Path planning strategies for both one and two turn parking maneuvers will be developed next. Finally CarSim simulation will be performed to verify the design.


2018 ◽  
Author(s):  
Jiangchao Shi ◽  
Jian Wu ◽  
Bing Zhu ◽  
Jing Li ◽  
Yang Zhao ◽  
...  

2021 ◽  
Author(s):  
Ziwei Ge ◽  
Hongyan Liu

Abstract Rockfall triggered by earthquakes can cause severe infrastructure losses and even fatalities. The flexible protective barrier is an efficient rockfall protection system that has been widely used against rockfall. This studyproposed a novel approach to simulate a field test of rockfall impacting the flexible barrier, and the simulation results showed an excellent match with the field test results. Based on this approach, the seismic loading was applied to the numerical model, and four types of seismic loading were adopted, e.g., non-seismic, x-directional seismic, y-directional seismic, and z-directional seismic. This study aims at investigating the dynamic behavior of the flexible protective barrier under different seismic loading during the rockfall impact process. The following findings can be obtained from the simulation results. First of all, the seismic loading can increase the maximum elongation and decrease the final elongation of the flexible protective barrier comparing to non-seismic loading. Second, the largest deformation area of the protective barrier is at the diagonal position when x-directional seismic loading was applied, which is at the vertical bisector position when y-directional and z-directional seismic loading was applied. Third, the maximum elongation of the protective barrier decreased with the increasing seismic wave period. But in general, the amplitude and period of seismic waves have negligible effects on the elongation, maximum normal stress, and maximum shear stress of the flexible protective barrier.


2019 ◽  
Vol 8 (2S11) ◽  
pp. 3531-3534

In this busy world, people are tending towards automation in all routine works which in turn is saving their time. Due to the increased use of cars and congesting places, everywhere we are facing a queue to pass through. One such queue we face is in the parallel parking lots. For solving this problem, many automobile manufacturers have come up with Auto Parking Features in New Model Cars. Then what about Old Cars? Shouldn’t those Old Cars get modified with this Auto Parking facility? Yes, they can get modified with our proposed solution. In this paper, we are presenting a solution in the form of a module for the parallel parking problem called “Automatic Parallel Car Parking System – using Sensors and Arduino UNO”. Along with New Cars, this module can also be integrated with Old Electric Cars to bring Auto Parallel Park feature. This paper also discusses existing Auto Parallel Parking Systems. It also discusses the proposed solution by solving the flaws in existing solutions. The proposed solution is easily adaptable, with small modifications to an electric car. Future enhancements are also proposed.


2019 ◽  
Vol 8 (2S11) ◽  
pp. 2793-2798 ◽  

Nowadays, smart parking guidance system is a crucial research for people’s convenience where the integrating concept of IoT that include hardware and software with the connection of internet for image or video processing technology is a powerful application which made up a complete smart parking system. The main objective of this research is to develop and analyze on a smart parking guidance system where current available system was compared to this new proposed system. Limited parking space has become serious issue since the number of Malaysia’s populations are using car keep increasing. Some of the big companies, shopping malls and other public facilities already deployed a smart parking system on their building. However, there are still a lot of buildings that do not own it because the system required a lot of investment, where the huge parking areas need higher cost to install sensors on each parking lot available and cameras are costly and lower in reliability. The proposed smart parking guidance system in this research was depending on a 360° camera that was modified on Raspberry Pi camera module and 360o lens that process with De-Warping techniques for the normal view rather than 360-degree view and Haar-Cascade classifier. The image and video processing was done by Open CV and python program to detect the available parking space and cloud firebase was used to update data where users can access the parking space availability by android mobile phone specifically at a closed parking space. A single 360°camera was replaced several sensors and cameras which were implemented on traditional parking guidance system. In the end of the paper, it is proved that prototype based smart parking is the convenient way to find the parking space availability.


2018 ◽  
Vol 181 ◽  
pp. 06007
Author(s):  
Rudy Setiawan

The study reports the effect of additional parking space for the tandem parking upstream stall and downstream stall to reduce parking maneuver time compare with conventional parallel parking maneuver time. The experiments involving 295 students of Petra Christian University. Results indicate that, added one-meter additional parking space could reduce total maneuver time up to 29% for the upstream stall and 31% for the downstream stall, and also reduce 8% income from on-street parking fee, but also will reduce 35% loss due to the delay time caused by parallel parking maneuver.


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