Design of Fire-extinguishing Car with Intelligent Tracking and Obstacle Avoidance

In robotic car, real time obstacle detection and obstacle avoidance are significant issues. In this study, design and implementation of a robotic car have been presented with regards to hardware, software and communication environments with real time obstacle detection and obstacle avoidance. Arduino platform, android application and Bluetooth technology have been used to implementation of the system. In this paper, robotic car design and application with using sensor programming on a platform has been presented. This robotic device has been developed with the interaction of Android-based device. Arduino Uno has been used as the robot's brain. The robot has many hardware components such as Bluetooth module, PIR sensor, ultrasonic sensor, and buzzers. It also consists of the software component that uses a mobile application. The desired direction or mode by mobile application can be selected by the user of the robotic car to control the movement of the car. The user can control the robot movements from his/her own intelligent device or take the robot in automatic mode and let the car drive its own way. Thus, the robot can flee from the obstacle and also detect live objects. The purpose of this article is to alert the civilian and military personnel to potential terrorist attacks especially in military areas with live detectable sensors.

In view of obstacle avoidance based on static ultrasonic wave sensor when the low sensitivity, slow response and low obstacle avoidance rate defect exists in the intelligent cars. An omnidirectional intelligent obstacle avoidance system was designed to control the ultrasonic sensor rotating for measuring distance. PWM drive servo actuators were used in this system to control the rotation measurement of ultrasonic sensor. Through sorting and filtering the sampled data, and then determine the optimal path, which can achieve a full range of autonomous obstacle avoidance. The experimental results show that the designed system can effectively improve the speed, sensitivity and obstacle avoidance success rate of autonomous obstacle avoidance.

Along with social progress and scientific development, there is increasing demand for smart devices. In this paper, the design of ultrasonic obstacle avoidance car can be widely used in intelligent household, intelligent robots and other sports-related equipment. This paper will use Verilog HDL language to implement combining FPGA chip with ultrasonic ranging module and control motor drive to achieve the car’s automatic obstacle avoidance function. The car uses the maze left hand rule for automatic obstacle avoidance, enable it to adapt to the complex working environment. Based on the FPGA chip’s high reliability, good expansibility, easy to transplant and the precise ultrasonic measurement, obstacle avoidance car will has good market prospects because of its high degree of flexibility, accuracy, real-time. KeywordsFPGA; Intelligent household; Verilog HDL Left hand rule; Ultrasonic

Pervasive deployment of autonomous vehicle all over the world is an undisputed trend in the future. Autonomous vehicle will inevitably play an essential role in decreasing traffic jams, reducing threats from driving while intoxicated (DWI), and assisting the handicapped to get around. At the same time, the new energy vehicles (NEV) especially the electromobile is gradually adopted by several governments like Germany, USA and China as compulsive transportation tools from the standpoint of environmental friendliness. Taking these two crucial trends into consideration, this article proposes a scheme of autonomous robotic car based on robot operation system (ROS) in electromobile-like car which can be easily transplanted to commercial electromobile. In this article, the design and implementation of robotic car are demonstrated in detail which involves overall architecture of functional modules, hardware design, obstacle avoidance, localization and mapping, land detection and tracking, velocity control and indoor navigation. All software modules and hardware are integrated in NVIDIA Jetson TX1 and TRAXXAS car.

This paper introduce the design of intelligent navigation obstacle avoidance car system based on single chip microcomputer STM32F103. The system consists of MCU, GPS positioning, electronic compass, Bluetooth and ultrasonic transmitter module. The differences between two kinds of heading angles measured by GPS positioning, Bluetooth and electronic compass module is used to change the driving direction of the trolley, and the ultrasonic module is used to measure the distance to avoid obstacle. Finally, realize the navigation and obstacle avoidance of the trolley. After experimentation, the system can achieve 1.8 m precision navigation.

The most significant aspects of a robotic car are its ability to detect obstacles in real time and as well avoid such obstacles. This study, therefore, presents the design and implementation of a robotic car with real time obstacle detection and avoidance based on software, hardware and communication environments. The system’s implementation has been founded on the android application, Arduino platform as well as the Bluetooth technology. Also presented in this study is the use of sensor programming in the design and application of a robotic car. It is through interactions with an android-based device that the robotic device has been successfully developed. On the other hand, the robot’s brain is created from the Arduino Uno. There are numerous hardware components used to create the robot such as; the Bluetooth module, Buzzers, Ultrasonic sensor and the PIR sensor. Software components utilizing a mobile application are also constituents of the robot. The movement of the robotic car can be controlled by the user through selection of the desired direction or mode by mobile application. With the use of an intelligent device, the user can control the movements of the robotic car or on the other hand, switch to automatic mode where the car will drive on its own. Since the car has the real time ability to detect and avoid obstacles, it can flee from any obstacles on its path and as well detect live objects. The primary aim of this paper is to enlighten civilians and military on the substantial advantages of this technology. Its application on military grounds can play a significant role in detecting potential terrorist attacks through its live detectable sensors.

This paper focuses on the study of robot car with multi-sensors, using Arduino UNO R3 development board to achieve doing information acquire, and marching strategy apply under various environmental conditions. The robot car can track and complete the obstacle avoidance. To successfully use the inexpensive microcontrollers, machine vision functions are achieved, and the application space of low-end MCUs is expanded. Image data been uploaded to the workstation real time using Wi-Fi communication module to processing. Image processing techniques are used to generate command signals from the real-time video stream, then guide the robot to act in a specified direction. The interaction with the robot car can be achieved by using round objects or specific colors (red, yellow, green). The difficulty of controlling the robot car has been reduced by this system. Experiments show that the automatic obstacle avoidance and target tracking system of the robot car designed in this paper can correctly realize the requirements of the subject.

A design of an intelligent car based on Infineon SAF-XC878-CM-16FFI chip with the functions of record, obstacle avoidance and optimizing the routes is proposed in this paper. Combined with infrared sensors, DC motors, Hall circuit, portable keyboard screen and routing algorithm, the intelligent car implements these functions in real-time. The comparison of the computer simulation and field tests of the intelligent car shows the design's effectiveness. Furthermore, compared with the traditional intelligent cars, this paper provides a design with smaller size, lower power consumption and more advanced functions.

Intelligent Tracking Obstacle Avoidance Wheel Robot Based on Arduino

Taking the IAP15F2K61S2 MCU as the core of the controller, a fuzzy PID control algorithm is used to design a car which can easily realize the intelligent tracking and obstacle avoidance function. At first, the infrared photoelectric sensor of the car detects the road information and obstacles, and then the offset angle and the offset change rate are transmitted as two input quantities to the fuzzy PID controller. After processing, the corresponding signals are output to control the speed and direction of the car movement. In this way, it shortens the system execution time and improves the system response speed. Experiments show that the fuzzy PID control strategy has obvious advantages in the tracking accuracy and speed of smart cars.

This paper introduces the design and implementation of an intelligent tracking car based on STM32 micro-controller, aiming to provide a low-cost and efficient solution to deal with the challenge of "last twenty meters" distribution in the logistics industry. The system integrates a variety of sensors to realize autonomous movement in complex environment, with intelligent obstacle avoidance, tracking and Bluetooth control functions. By optimizing the hardware cost and simplifying the design, the project has demonstrated significant application value in the field of intelligent logistics, especially the practical application potential in short-distance automatic distribution.

In the process of resource and energy development, fuel combustion and the production and storage and transportation, Some dust particles, formaldehyde, stupid system, carbon monoxide and other volatile, toxic and harmful gases of the pollutants are often released into the environment, It's causing air pollution,Seriously affect or threaten the health and life safety of production and management personnel. Accurate and timely detection of dust particles and toxic gas, which can provide a decision-making basis for environmental monitoring and analysis work.This programme designs an intelligent air quality online monitoring trolley system based on STM32 microcomputer,it includes two parts: intelligent tracking obstacle avoidance car control system and air quality detection system.The small car can move forward in the road geographical environment,in the process of reasonable and effective obstacle avoidance, it can detect the quality of air components, conduct real-time data transmission and issue an alarm, and use the wireless transmission module to send the information to the cloud platform to realize the real-time monitoring, transmission and alarm of air quality information. After the test, the system is stable and efficient, which has certain practical value and significance for the research and exploration of the current working environment protection.

Photoelectric Sensor Based Intelligent Track Racing Car

Design and Implementation of Automatic Intelligent Tracking Car Based on CCD

Based on the design of Freescale intelligent tracking car, the kinematics model is established according to the motion characteristics of the car after introducing the control system and the composition of each functional module of smart car. In order to make the smart car move stably and quickly in the predetermined track, the corresponding PID control algorithm is proposed to control the steering system and power system of the car, respectively. The experimental verification shows that the car basically achieves the goals of “stable”, “accurate” and “fast” operation in the automatic control theory.