scholarly journals Wireless UGV for Target Tracking and Obstacle Detection using Live Surveillance

2019 ◽  
Vol 8 (6S2) ◽  
pp. 384-386
Keyword(s):  
Target Tracking ◽  
Distance Measurement ◽  
Obstacle Detection ◽  
Ultrasonic Sensor ◽  
Prototype Model ◽  
Live Video ◽  
Ip Camera ◽  
Complete Set ◽  
Set Up

our aim is to develop a project that will benefit society. But nowadays it is employed to assist human in surveillance, rescue and recovery missions. This paper presents the prototype model of an UGV which is operated wirelessly through manual navigation commands based on the live video captured from the IP camera mounted on the board. The distance measurement is done by the Ultrasonic sensor from the obstacle and displayed in the LCD. The target tracking as well as attacking is done based on the obstacle and environment situation monitored in the live video. This complete set up and working of the UGV is described further in this paper

scholarly journals Computer vision based obstacle detection and target tracking for autonomous vehicles

2021 ◽  
Vol 336 ◽  
pp. 07004
Author(s):  
Ruoyu Fang ◽  
Cheng Cai
Keyword(s):  
Neural Network ◽  
Computer Vision ◽  
Deep Learning ◽  
Target Tracking ◽  
Real Time ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Obstacle Detection ◽  
Pid Algorithm ◽  
Deep Learning Neural Network

Obstacle detection and target tracking are two major issues for intelligent autonomous vehicles. This paper proposes a new scheme to achieve target tracking and real-time obstacle detection of obstacles based on computer vision. ResNet-18 deep learning neural network is utilized for obstacle detection and Yolo-v3 deep learning neural network is employed for real-time target tracking. These two trained models can be deployed on an autonomous vehicle equipped with an NVIDIA Jetson Nano motherboard. The autonomous vehicle moves to avoid obstacles and follow tracked targets by camera. Adjusting the steering and movement of the autonomous vehicle according to the PID algorithm during the movement, therefore, will help the proposed vehicle achieve stable and precise tracking.

scholarly journals High-Precision Distance Measurement with an unmanned, Moving Target

1986 ◽  
Vol 8 ◽  
pp. 93-95
Author(s):  
H. Ito ◽  
K. Schroff ◽  
Hans-jörg Frei
Keyword(s):  
Sea Ice ◽  
High Precision ◽  
Distance Measurement ◽  
Moving Object ◽  
Measuring Instruments ◽  
Moving Target ◽  
Personnel Cost ◽  
Greenland Sea ◽  
Single Station ◽  
Set Up

A device was developed, which rotates a marker for the distance measurement in the desired direction, without an operator at the spot. This is also possible with a moving object, on which the marker is set up. The device, together with adequate distance-measuring instruments, yields a precise distance measurement by a single observer at a single station. Examples of measurements using it during sea-ice studies in the Greenland Sea are described. It is shown that the application of the instrument provides a satisfactory basis for precise glacier surveying with limited personnel, cost, and time.

scholarly journals Design of Security System Based on Raspberry-PI

2019 ◽  
Vol 19 (2) ◽  
pp. 56-61
Author(s):  
Mohanad Abdulhamid ◽  
Singoee Sheshai
Keyword(s):  
Motion Detection ◽  
Raspberry Pi ◽  
Video Streams ◽  
Environment Friendly ◽  
Live Video ◽  
Video Cameras ◽  
Detection And Tracking ◽  
Tracking Process ◽  
Set Up ◽  
Wireless Module

AbstractAs a critical constituent of many associations’ protection and security precedence, video surveillance has set up its importance and benefits numerous instances with the aid of imparting immediate supervising of possessions, people, surroundings and property. This paper deals with the diagram strategy of an embedded real-time surveillance gadget based totally on Raspberry-Pi single board computer (SBC) for intruder detection which is reinforcing technology of surveillance to supply fundamental security to our life and associated control and alert operations. The suggested safety solution is hinging on our novel integration of cameras and action detectors into application of web. Raspberry-Pi is operating and controlling action detectors and video cameras for far flung sensing and surveillance, streams live video and files it for future playback. Also, this paper is focusing on growing a surveillance machine that detects strangers and to response speedily through taking pictures and relaying photos to proprietor based totally wireless module. This Raspberry-Pi based clever surveillance machine presents the concept of monitoring a region in a far-flung area. The suggested solution offers a fee advantageous ubiquitous surveillance solution, environment friendly and convenient to implement. Furthermore, the paper presents the idea of motion detection and tracking using image processing. This type of technology is of great importance when it comes to surveillance and security. Live video streams therefore be used to show how objects can be detected then tracked. The detection and tracking process are based on pixel threshold.

scholarly journals The ability of Lithuanian ambulance services to provide first medical aid in trauma cases

Medicina ◽  
2007 ◽  
Vol 43 (6) ◽  
pp. 463 ◽  
Author(s):  
Raimondas Marozas ◽  
Rytis Rimdeika ◽  
Nedas Jasinskas ◽  
Eglė Vaitkaitienė ◽  
Dinas Vaitkaitis
Keyword(s):  
Emergency Medicine ◽  
Life Support ◽  
Advanced Life Support ◽  
Medical Procedures ◽  
Service Network ◽  
Medical Aid ◽  
Golden Hour ◽  
Medicine Service ◽  
Complete Set ◽  
Set Up

Objective. To evaluate the ability of country ambulance services to provide first medical aid in trauma cases. Material and methods. A survey of chiefs of emergency medicine service was performed in October–November 2005, in which 34 of the 59 institutions (58%) were participating. The questionnaire presented questions concerning physical and human resources, performance values, and system configuration. The study has shown that emergency medicine service operates in radius of 23 km, each team providing service for about 40 000 inhabitants. Taking into consideration distance and average on-scene time values, emergency medicine service is capable to render the first medical aid within so-called “golden hour” in case the accident is reported immediately. The physical resources are not quite complete. Not all the cars are equipped with essential first aid measures. Among more rarely found resources are vacuum pumps, intubation sets, defibrillators, vacuum splints, back immobilization devices, and hammock immobilization devices. There are less mentioned resources than working teams and even more than two times less than emergency cars at all. Two-thirds of the operating emergency medicine services do not provide advanced life support procedures. The evaluation of theoretical/practical ability to provide some important medical procedures used in emergency medical care showed that medical staff quite often fails to perform defibrillation, intubation, and pleural cavity drainage. Conclusions. Country ambulance service network configuration according to area under service, number of people served, and response frequency comply with the requirement set. The ambulance vehicles lack complete set up as well as some important supplies. Only rarely the staff is skilled enough to perform such advanced life support procedures as intubation, defibrillation, and pleural drainage.

Design and Development of Computational Intelligence for Enhanced Adaptive Cruise Control Using Arduino

2016 ◽  
Vol 852 ◽  
pp. 782-787 ◽  
Author(s):  
D. Vaishnavi ◽  
E. Sundari ◽  
T.V. Sangeetha ◽  
S. Shrinidhi ◽  
P. Saravanan
Keyword(s):  
Obstacle Detection ◽  
Control Signal ◽  
Critical Conditions ◽  
Prototype Model ◽  
Processing Unit ◽  
Cruise Control ◽  
Cruise Control System ◽  
Preceding Vehicle ◽  
New Feature ◽  
Main Input

In today’s fast paced world, transportation plays a very important role. Of all the different types of transportation available, cars are one of the most common and most preferred means of transportation for the majority of people. The classical Cruise control System maintains the pre-set speed and will also adapt itself to the change in acceleration of the preceding vehicle. But it is not sophisticated enough and reduces its speed to zero in case of critical conditions. In the proposed system, in addition to obstacle detection, a new feature is added which enables the vehicle to switchover to an empty lane when the preceding vehicle is too near or whenever there is a possibility of crash. This paper discusses about the implementation of the same. The main input to the system is the data collected by the ultrasonic sensors fixed to the four sides of the vehicle. The main processing unit analyses the data collected and sends out a control signal to the motor driver in accordance with the algorithm. H-Bridge in this system controls the speed and the direction of the vehicle by giving the appropriate control signal to the motor connected to the wheels. This paper deals with the design of the prototype model of the proposed system. The main control part of our system is realised by the Arduino microcontroller.

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