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According to the increase in the number of elderly people living alone, nursing care systems for such people have become much more important than ever. This paper focuses its attention on the detection of abnormal motions such as falling of the elderly by use of a camera settled in a room. Although there are several human motion representation and recognition methods, they all deal with the motions...
Various types of sensors are required to drive autonomous vehicles in order to perceive surroundings on behalf of human beings. Among the various sensors for obtaining the distance information of obstacles, the light detection and ranging (lidar) sensor is chosen as a representative. The quality and amount of information that can be obtained depends on the number and location of lidar sensors. It...
Nowadays there is a big interest in applying natural gesture communication language to various systems. There are several techniques on how to detect willed hand motion or recognize gestures by using different kind of sensors. RGB cameras can be used to detect hand, but it has a limited application. For example, hand detection can be particularly hard in some lighting conditions or in different skin...
A Smart Wheelchair (SW) is an electric powered wheelchair, equipped with sensors and computational capabilities, with the general aim of both enhancing independence and improving perceived quality of life of the impaired people using it. SWs belong to the class of semi-autonomous mobile robots, designed to carry the user from one location to another of his/her choice. For such systems, the localization...
This paper presents an implementation of a system that is autonomously able to find, follow and land on a car moving at 15 km/h. Our solution consists of two parts, the image processing for fast onboard detection of landing platform and the Model Predictive Control tracker for trajectory planning and control. This approach is fully autonomous using only the onboard computer and onboard sensors with...
Multispectral setups have a great potential to tackle problems such as collision avoidance or pedestrian detection. However, multispectral odometry is nowadays less precise than most stereo visible setups, so there is a need to improve such systems. With this work, we investigate the fusion of inertial data with visual information to improve the performance of multispectral setups. Inertial data are...
Practically, today most mobile devices, such as robots require to have ability to determine their pose (location and orientation) from low-cost sensors with high accuracy. This paper presents a novel fusion method to determine the pose estimation of an autonomous mobile robot using inertial sensors and a camera. Speeded up robust features (SURF) is used as a visual algorithm to detect natural landmarks...
It is necessary that periodical inspection and maintenance of railway transportation systems, which is becoming more and more common day by day, is required. A typical rail line can range from a few kilometers to thousands of kilometers. It is not possible to control this length of railway line with human labor. For this purpose, rail inspection is done automatically by machine vision today. The input...
In recent years, fields such as industrial automation, virtual and augmented reality and autonomous robotics increased the demand for location-awareness of electronic devices. Image sensor based inside-out localization and tracking systems are sufficiently accurate to determine the position and orientation of electronic devices. Without additional sensors however, these systems are impaired in reaching...
We propose a neural network architecture for depth map inference from monocular stabilized videos with application to UAV videos in rigid scenes. Training is based on a novel synthetic dataset for navigation that mimics aerial footage from gimbal stabilized monocular camera in rigid scenes. Based on this network, we propose a multi-range architecture for unconstrained UAV flight, leveraging flight...
Autonomous vehicles are equipped with a variety of instrumentations, sensors and controls depending upon the mission of the target vehicle. One of the biggest challenges in developing autonomous vehicles system is their cost. Often times, researchers with limited budget do not have the resources to acquire realistic autonomous vehicle test platforms for carrying out their experiments on. Most researchers...
This communication addresses the range accuracy of SPAD-based time-of-flight (TOF) sensors that employ laser pulse modulation. Two basic approaches are considered: indirect and direct TOF. We investigate confidence intervals and derive formulas for standard errors of the relative distance error for both approaches based on photon statistics.
In nowadays situation, the security forms the most important section of our lives. Security of the house or the near and dear ones is important to everybody. Home automation is an exciting area for security applications. This field has enhanced with new technologies such Internet of things (IoT). In IoT, every gadget behaves as a little part of an internet node and every node interact and communicate...
The consumer automotive market is going through rapid changes. To preserve the competitiveness each new generation of advanced driver assistance systems (ADAS) heavily adds to a complexity of the hardware platform. Analysis of the latest ADAS systems, their existing and missing requirements, is a foundation for the development of the Alpha board, the hardware platform for ADAS applications. In this...
Primary goals of Advanced Driver Assistance Systems (ADAS) are increased safety and situations with no stress for all traffic participants. Parking safety is improved by presenting real-time vehicle environment to the driver (surround view, bird's eye view). Bird's eye view is 3D camera and parking sensors system which assist driver with parking. It covers all angles and alerts the driver about obstacles,...
Semi-autonomous driving is a huge technological step, but it also introduces a range of new challenges. Real-time control, selection and development of hardware platform, data transfer and development of algorithms are just a small collection of technical challenges to fully take advantages of such a system. The focus of this paper is analysis of some aspects of semi-autonomous driving, the corresponding...
An accurate and robust lane recognition is a key aspect for autonomous cars of the near future. This paper presents the design and implementation of a robust autonomous driving algorithm using the proven Viola-Jones object detection method for lane recognition. The Viola-Jones method is used to detect traffic cones that are located besides the road as it can be done in emergency situations. The positions...
The major challenges for optical based tracking are the lighting condition, the similarity of the scene, and the position of the camera. This paper demonstrates that under such conditions, the positioning accuracy of Google's Tango platform may deteriorate from fine-grained centimetre level to metre level. The paper proposes a particle filter based approach to fuse the WiFi signal and the magnetic...
The technology for detection of indoor location information has been attracting much attention in the recent past, since such information can be utilized for navigation and marketing research. The commonly used indoor location detection methods are Wi-Fi positioning, Bluetooth Low Energy (BLE) beacons and Pedestrian Dead-reckoning (PDR). PDR can provide location information relative to the original...
Image based 3D digitization methods, as an input data, use a digital photographs for reconstruction of 3D objects. Today, digital cameras are common devices used for capturing of digital photographs. Every digital camera is equipped with one of two types of digital sensors — CCD or CMOS. One of important features of these both types of sensors is their physical size. This paper presents results of...
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