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This paper focuses on the inspection for sloping dam wall by a remotely operated vehicle (ROV). First, a dedicated ROV for dam inspection is described. Second, a fixed-distance tracking control strategy is proposed to guarantee the fixed camera-to-subject distance in sloping dam inspection, which is instrumental in sonar image fusion for the large-scale dam wall with a certain inclination. In addition,...
Obstacle detection and tracking is a fundamental task for several Advanced Driver Assistance Systems (ADAS) and self-driving cars. Several approaches have been presented in the literature in the last years and many of them are based on visual sensors. In this paper we propose an approach that uses only stereo cameras to detect and track obstacles and compute visual odometry to get the vehicle's ego-velocity...
Diminished reality (DR) is a technique to remove undesirable objects from a video stream in real time. DR methods calculate a user's camera pose using vision- or sensor-based approaches to recover and overlay a background image to the camera view. Relying on 6DoF camera registration methods, DR results are often ruined due to misregistration. To solve this problem, we propose a registration framework...
Our goal is to automatically detect which direction a child is facing based on a single, simple overhead picture, and track that direction across time. Engaging in joint attention, which is the shared focus of two individuals on some object of interest, is a strong cue of typically developing children, and the lack thereof can be an indicator of autism spectrum disorder or other pervasive developmental...
Predicting hand gestures and finger movements include a wide range of applications in different fields such as human computer interaction, rehabilitation, and prosthesis control. Research in this area, mainly focuses on hand gesture classification which limits the ability of the system to a set of predefined gestures and also limits the ability to control fine finger movements. Force Myography (FMG)...
One of the main problems that are being addressed intensively in modern societies is the ageing of population. Today's challenge is to allow elderly people to remain autonomous at their home as much as possible. Currently, one of the active research fields is the development of an assistive living system (ALS) that aims to support people at home. This can help elderly people to stay at home as long...
This paper presents a scheme which aims to track patients in hospitals and to generate the suggestion information to the patients. In this scheme, hardware like location tracking devices such as GPS, WiFi positioning system, Bluetooth Low Energy (BLE), and RFID is not required. Instead, the proposed system entirely relies on the existing data in the Hospital Information System (HIS). The data analytics...
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...
For the understanding of the dynamics inside crowds reliable empirical data are needed. On that basis the safety and comfort for pedestrians can be increased and models reflecting the real dynamics can be designed. For that purpose we are developing the free framework PeTrack collecting data from laboratory experiments. With the new integration of the detection of individual codes the presented framework...
Smartphone applications designed to track human motion in combination with wearable sensors, e.g., during physical exercising, raised huge attention recently. Commonly, they provide quantitative services, such as personalized training instructions or the counting of distances. But qualitative monitoring and assessment is still missing, e.g., to detect malpositions, to prevent injuries, or to optimize...
This paper investigates the leader-follower tracking control problem for non-holonomic mobile robots based on fuzzy controller based approach. The trajectory tracking control for a single mobile robot is extended to the formation control for multiple mobile robots. This paper proposes for enhancement the follower performance, interval fuzzy type-2 controller is used. By taking the simulation and simple...
Tracking single or multiple maneuvering targets is an urgent need for defense. In order to meet the military requirement, we propose a modified clustering-based Rao-Blackwellized particle filter (CBRBPF) to track single or multiple maneuvering targets with observations received by single or multiple sensors. The modified RBPF is basing on the clustering-based data association method. We partition...
Onboard monocular cameras have been widely deployed in both public transit and personal vehicles. Obtaining vehicle-pedestrian near-miss event data from onboard monocular vision systems may be cost-effective compared with onboard multiple-sensor systems or traffic surveillance videos. But extracting near-misses from onboard monocular vision is challenging and little work has been published. This paper...
Wearable Augmented Reality (AR) devices1 are being explored in many applications for visualizing real-time contextual information. More importantly, these devices can also be used in tele-assistance from remote sites when on-field operators require off-field expert's guidance for trouble-shooting. For an effective communication, touchless hand gestures are the most intuitive to select a Region Of...
Driving with distraction or losing alertness increases the risk of the traffic accident. The emerging Internet of Things (IoT) systems for smart driving hold the promise of significantly reducing road accidents. In particular, detecting the unsafe hand motions and warning the driver using smart sensors can improve the driver's self-alertness and the driving skill. However, due to the impact of the...
Energy crisis and increasing demand for energy is the most important issue in today's world as demand for electrical energy increasing over the years. Conventional energy sources like fossil fuels are not only limited but also hazardous to environment. the production of electrical energy using clean, renewable sources, such as solar energy, wind energy, etc. Owing to the usage of solar energy, it...
The paper deals with the problem of tracking program trajectory for the aircraft in the landing phase. Basic control law, synthesized according to the assumption that required state variables and external disturbances are known, is assumed as a basis for solving the problem of tracking in case of incomplete measurements. As a system of analytical reservation of board instruments, cascade system of...
In this paper, we propose a multi-object tracking and reconstruction approach through measurement-level fusion of LiDAR and camera. The proposed method, regardless of object class, estimates 3D motion and structure for all rigid obstacles. Using an intermediate surface representation, measurements from both sensors are processed within a joint framework. We combine optical flow, surface reconstruction,...
Reliably localizing and tracking displays moving relative to content in the physical world is one of the primary technical challenges facing all augmented reality systems. While significant progress has been made in recent years, all approaches remain limited to functioning only in certain environments and situations. Attempts to improve solution generality via additional sensors (e.g., depth sensors,...
A sensor is a device that senses, perceives, or distinguishes and responds to an input from a physical location and provides an output that is human decipherable. As obesity levels all over the world are reaching the sky, especially in the U.S., China, and India, the use of sensors can help in managing rising obesity levels. There are many traditional dietary assessment methods such as doubly labeled...
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