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The school shuttle system commonly uses the vehicle to facilitate students to go and go home from school. However, there needs to be a development in terms of monitoring the students. In this paper explains the development of school shuttle system with IoT concept to apply Smart School application. The system will be designed uses a reader that will identify the identity card of students using Bluetooth...
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...
A typical Surround View System consists of several cameras on the vehicle perimeter. This document proposes three novel methods for the extrinsic calibration of Surround View Systems (SVS). I — The first approach uses a single calibration pattern placed step-by-step on the vehicle perimeter. II — The second approach uses several calibration patterns placed on the ground plane. The vehicle drives between...
Analysis of eye movement behavior is useful for many applications that include human computer interactions, gaze detection, human activity, motion and expression analysis. Analyzing eye movements is one of the key ways for detection of dry eye and driver’s drowsiness. Dry eye is linked to lower blink rate while as driver’s drowsiness is associated with prolonged eye closure. In this paper we detect...
The applications of computer vision are widely used in traffic monitoring and surveillance. In traffic monitoring, detection of vehicles plays a significant role. Different attributes such as shape, color, size, pose, illumination, shadows, occlusion, background clutter, camera viewing angle, speed of vehicles and environmental conditions pose immense and varying challenges in the detection phase...
The Microsoft Kinect which is a motion sensing input device presents a very straightforward and affordable approach to facilitate real-time user interaction. Although a lot of research has been conducted on the application of Kinect to gaming and virtual reality environments, its relevance to real-world scenarios has not been explored much. The features provided by the driver platforms such as OpenNI...
In this paper, a circular formation of autonomous vehicles is deployed such that the centroid tracks a temperature contour in the region of a tidal mixing front. Only local temperature measurements at the vehicles positions are taken for this purpose. The European north-west continental shelf sea surface temperature forecast data, provided by the Met Office, UK, has been used for this study as ‘prior...
Mobile wireless ad hoc network (MANET) becomes increasingly popular in responding to emergency situation. In this paper a possibility to support rescue team in monitoring heavy gas cloud with MANET comprised of mobile sensing devices is investigated. In the view of the current state of research, two methods for controlling mobile sensing devices during MANET self-organization are presented. The first...
In recent years, there has been an interest in detailed monitoring of road traffic, particularly in intersections, in order to obtain a statistical model of the flow of vehicles through them. These models aid in the optimization of traffic management and allow for smarter transportation systems. While conventional methods sensors at each of the intersections entrances/exits allow for counting, are...
In recent years, great technological subsurface advancements have been made to observe and study Carcharodon carcharias, white sharks with autonomous underwater vehicles (AUVs) [1]. Prior to 2011, tracking pelagic predators like sharks was limited to using active tracking from boats [2] and passive acoustic arrays [3]. These aforementioned techniques proved to be limited by logistics such as weather...
Preserving location-privacy in vehicular networks is a challenge. On one hand, under Public Key Infrastructure (PKI) realm, changing pseudonyms has been the state-of-the-art; however, to avoid being tracked, the vehicle has to change the pseudonym when it is within a fixed or a dynamic mix zone, created using encryption or silent periods. On the other hand, under the group signature realm, super anonymity...
In this paper, an impedance control scheme for aerial robotic manipulators is proposed, with the aim of reducing the end-effector interaction forces with the environment. The proposed control has a multi-level architecture, in detail the outer loop is composed by a trajectory generator and an impedance filter that modifies the trajectory to achieve a complaint behaviour in the end-effector space;...
In large industrial plants, the inspection of production lines is a heavy and costly task that puts human inspectors at high risk. In order to overcome these challenges, we have developed an autonomous plant inspection system using a mobile tracked vehicle. In this paper, we propose an autonomous navigation method for tracked vehicles based on a contact force model that enables the robot to compensate...
Reversing with a dolly steered trailer configuration is a hard task for any driver without extensive training. In this work we present a motion planning and control framework that can be used to automatically plan and execute complicated manoeuvres. The unstable dynamics of the reversing general 2-trailer configuration with off-axle hitching is first stabilised by an LQ-controller and then a pure...
Despite an intensive research on flapping flight and flapping wing MAVs in recent years, there are still no accurate models of flapping flight dynamics. This is partly due to lack of free flight data, in particular during manoeuvres. In this work, we present, for the first time, a comparison of free flight forces estimated using solely an on-board IMU with wind tunnel measurements. The IMU based estimation...
This paper presents a robust motion planning methodology for autonomous tracked vehicles navigating in a rough and unknown environment. Two fields of study are dealt with in this paper: motion planning and slip estimation. For the motion planner, the CC-RRT* algorithm is combined with LQG-MP. The motion planner uses a chance-constrained approach and considers the role of compensator in the planning...
This paper proposes a new adaptive repetitive visual-servo control system for a moving high-flying vehicle (HFV) with an uncalibrated camera to monitor, track, and precisely control the movements of a low-flying vehicle (LFV) or mobile ground robot. When deployed, a remote operator of the HFV defines the desired trajectory for the LFV in the HFV's camera frame (image frame). Due to the circulatory...
TYAs paper looks at some of the algorithms that can be used for effective detection and tracking of vehicles, in particular for statistical analysis. The main methods for tracking discussed and implemented are blob analysis, optical flow and foreground detection. A further analysis is also done testing two of the techniques using a number of video sequences that include different levels of difficulties.
Coastal upwelling brings cooler, saltier, and nutrient-rich deep water upward to the surface. Upwelling fronts support enriched phytoplankton and zooplankton populations, thus having great influences on ocean ecosystems. We have developed a method to enable a Wave Glider (an autonomous surface vehicle) to autonomously detect and track an upwelling front. Unlike an autonomous underwater vehicle (AUV)...
In the paper the problem of velocity tracking control of Autonomous Underwater Vehicles (AUVs) in horizontal plane is considered. The proposed approach is based on transformed equations of motion and it allows one to apply the dynamical couplings in the control gain matrix. As a result, the dynamics of the vehicle is included into the control process what leads to fast system response. The stability...
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