Design of intelligent vehicle system based on embedded ARM

2014 ◽  
Author(s):  
Wenkai Liu ◽  
Aigong Xu ◽  
Menglong Wu ◽  
Xiaowei Dong
Keyword(s):  
Intelligent Vehicle ◽  
Vehicle System

VLDNet: Vision-based lane region detection network for intelligent vehicle system using semantic segmentation

Computing ◽  
2021 ◽  
Author(s):  
Deepak Kumar Dewangan ◽  
Satya Prakash Sahu ◽  
Bandi Sairam ◽  
Aditi Agrawal
Keyword(s):  
Semantic Segmentation ◽  
Intelligent Vehicle ◽  
Region Detection ◽  
Vehicle System

Design and Implementation of Intelligent Vehicle Control System Based on Camera Sensor

2013 ◽  
Vol 347-350 ◽  
pp. 666-671
Author(s):  
Shubra Deb Das ◽  
Jue Yang ◽  
Muktadir Rahman Chowdhury ◽  
Mary Cindy Ah Kioon
Keyword(s):  
Processing Speed ◽  
High Speed ◽  
Closed Loop ◽  
Image Sensor ◽  
Intelligent Vehicle ◽  
Loop Control ◽  
Vehicle System ◽  
Design Proposal ◽  
Micro Controller Unit ◽  
Excellent Stability

In this paper we propose a intelligent vehicle system design with MK60N512VMD100 as the micro-controller unit and CMOS image sensor to obtain image information of the track. Our proposed comparator circuit instead of an A/D conversion to obtain the binary image enables us to achieve a bigger field of view and a higher processing speed. A unique algorithm to extract track information and to successfully extract the black guide line is devised. We also design a PID closed-loop control to adjust the rotate speed of driving electromotor and direction of steering electromotor. The results indicate that our design proposal is feasible. The intelligent vehicle could successfully achieve a high speed, while maintaining an excellent stability.

Deep Learning-Based Speed Bump Detection Model for Intelligent Vehicle System Using Raspberry Pi

2021 ◽  
Vol 21 (3) ◽  
pp. 3570-3578
Author(s):  
Deepak Kumar Dewangan ◽  
Satya Prakash Sahu
Keyword(s):  
Deep Learning ◽  
Raspberry Pi ◽  
Intelligent Vehicle ◽  
Detection Model ◽  
Vehicle System

Research of Magnetic Field Navigation Intelligent Vehicle System Based on Difference Algorithm

2014 ◽  
Vol 678 ◽  
pp. 382-387
Author(s):  
Wu Dong ◽  
Hong Xia Bie
Keyword(s):  
Magnetic Field ◽  
Control Strategy ◽  
High Speed ◽  
Vehicle Control ◽  
Intelligent Vehicle ◽  
Magnetic Field Sensors ◽  
Pid Algorithm ◽  
The Road ◽  
Vehicle System ◽  
Navigation Scheme

To implement intelligent vehicle control system based on magnetic field detection, automation navigation scheme based on difference algorithm is proposed. The feature of magnetic field of the road is analyzed, and layout method of sensors is proposed, and signals of magnetic field sensors are gathered and filtered, and road control strategy based on difference algorithm is proposed, and steering gear is used to implement cornering of intelligent vehicle, and position PID algorithm is used to implement speed control of intelligent vehicle. The experiment result shows that intelligent vehicle using this scheme can work steadily at high speed, and has higher practicability and is worth to be propagated in many fields.

Design of an Intelligent Vehicle System for Storehouse Management Based on Image Processing and RFID Technologies

2011 ◽  
Vol 201-203 ◽  
pp. 2007-2013 ◽  
Author(s):  
Wen Dong Li ◽  
Guo Wei Chen ◽  
Jing Chen ◽  
Xue Jun Zhang
Keyword(s):  
Image Processing ◽  
Face Recognition ◽  
Radio Frequency Identification ◽  
High Accuracy ◽  
Visual Navigation ◽  
Intelligent Vehicle ◽  
Vehicle System ◽  
Logistics Enterprises ◽  
Frequency Identification ◽  
Straight Lines

This paper describes a new intelligent storehouse management vehicle system based on image processing and Radio Frequency Identification (RFID) technologies to ensure the security of storehouses of logistics enterprises and improve the efficiency of storage. The vehicle is able to go ahead automatically by visual navigation in storehouses with the function of face recognition and alarm, as well as automatic statistics of commodities. Hough transformation is used to detect straight lines for angle control, and RFID based component is applied to the commodity management. The results show that our vehicle and storehouse management system can successfully fulfill various tasks with high accuracy of performance, which will lead to a practical merchandise application after further improvements.

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