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A novel laser-beacon localization system has been developed which has applications in positioning and navigation of mobile ground or aerial vehicles where other forms of localization are absent (e.g. GPS or radio). The system allows for position determination within an area of interest with reasonable accuracy. Model results and initial prototype have shown that the concept of dual angle-encoded beacons...
Since its introduction in the early 1960s, the inductive-loop detector has become the most utilized sensor in a traffic management system. It can obtain the data of traffic flow, occupancy and speed of the road. As a principal component, insulated loop wire is easy to be affected by pavement deformation and environment, so the health status and life of the equipment are easily affected. In order to...
This paper describes the target detection and tracking architecture used by the Georgia Tech Aerial Robotics team for the American Helicopter Society (AHS) Micro Aerial Vehicle (MAV) challenge. The vision system described enables vision-aided navigation with additional abilities such as target detection and tracking all performed onboard the vehicles computer. The author suggests a robust target tracking...
This paper describes the design and implementation of an electronic metal detector equipped remote-controlled robot that can be used in land mine detection without putting humans in harm's way. The metal detector can detect covered metals and the robot can be controlled wirelessly from a distance. The ideas and concepts from the theoretical stages are molded into the physical hardware components by...
Fast growth of mobile sensing technologies, like GPS in smart phones, made capturing position data in the form of trajectories easy. But detecting anomalous trajectories, which are grossly different from remaining trajectories, is a major challenge in the surveillance domain and a big data problem. In the present work, a novel density-based method has been proposed and implemented for detection of...
A novel flyback light emitting diode (LED) driver with adaptive switching frequency for smart lighting is proposed in this investigation. Switching loss and severe harmonic distortion of conventional flyback LED drivers when the LED is operating in high switching frequency and high voltage are resolved. The proposed flyback LED driver design auto-adjusts the switching frequency by detecting the conduction...
A robust, efficient video analytic tool is presented for detection and estimation of driver's head position and orientation in the SHRP 2 NDS dataset. It is shown that by exploiting the temporal correlations between successive frames in a video, challenging conditions such as lighting variations, and lower resolutions, may be mitigated effectively. The Viola-Jones frontal face detector provides initial...
Since unsafe speed and deviation to the left side in road curve with limited Visibility, may cause accidents to happen, a solution to detect and prevent such accidents has been proposed in this paper in order to achieve a safe trip. It is necessary to have the geometric properties of the road, and detect the speed and location of the car. To do this, initially the geometric properties of mountainous...
According to analysis reports on road accidents of recent years, it's renowned that the main cause of road accidents resulting in deaths, severe injuries and monetary losses, is due to a drowsy or a sleepy driver. Drowsy state may be caused by lack of sleep, medication, drugs or driving continuously for long time period. An increase rate of roadside accidents caused due to drowsiness during driving...
Past studies on automatic traffic incident detection have mainly focused on the incidents on freeways, which are controlled-access roads. There are not many works on urban traffic incident detection. In addition, the traffic data used in detecting an incident are still mostly collected from fixed sensors such as loop detectors. With the advances in mobile sensing and vehicular technology, it is foreseeable...
Parking is almost limited and expensive in every metropolitan city of the world. Finding a vacant car parking space is becoming difficult owing to the fact that innovative parking system has not gained much popularity especially in some developing countries. With a prolific increase in number of public as well as private transportation on the road, traffic problems bound to exist. To make this problem...
Region of interest (ROI) generation used to extract candidate windows which are likely to have pedestrians is an important step in pedestrian detection systems. In this paper, we propose a novel algorithm to reduce the number of candidate windows extracted as ROI to reduce the computation time of pedestrian detection. In our proposed method, we take advantage of the temporal correlation between the...
Even though crashes between trains and road users are rare events at railway level crossings, they are one of the major safety concerns for the Australian railway industry. Nearmiss events at level crossings occur more frequently, and can provide more information about factors leading to level crossing incidents. In this paper we introduce a video analytic approach for automatically detecting and...
Nowadays roads are getting overcrowded and the number of vehicles on the roads is increasing. The main reason is the increase in the population of metro cities, urbanization, and economical development of the country that subsequently led to the increased demand for vehicular travel. Incident detection and Traffic congestion are the serious issues in Traffic engineering applications and Intelligent...
In recent years, the demands for Advanced Driving Assistance Systems (ADAS) is increasing, and pedestrian detection methods using an in-vehicle camera have been widely studied. In the case of pedestrian detection using an in-vehicle camera, since road environment varies widely, it is very difficult to do so accurately by a single classifier. This wide variety could also be understood as large intra-class...
Road safety is influenced by the adequate placement of traffic signs. As the visibility of road signs degrades over time due to e.g. aging, vandalism or vegetation coverage, sign maintenance is required to preserve a high road safety. This is commonly performed based on inventories of traffic signs, which should be conducted periodically, as road situations may change and the visibility of signs degrades...
Green Light Optimized Speed Advisory (GLOSA) systems have been shown to be able to reduce both CO2 emissions and fuel consumption by giving drivers speed recommendations when approaching a traffic light. For the system to reach its maximum potential, is is necessary to properly predict all different types of traffic lights, that is, also adaptive traffic lights where signals may change with lead times...
Advanced Driving Assistant Systems, intelligent and autonomous vehicles are promising solutions to enhance road safety, traffic issues and passengers' comfort. Such applications require advanced computer vision algorithms that demand powerful computers with high-speed processing capabilities. Keeping intelligent vehicles on the road until its destination, in some cases, remains a great challenge,...
Visualizing road traffic datasets involves representing junctions, their links, and the attributes of those links. Current traffic visualization techniques are not sufficient for professional traffic engineers, as they are limited in the number of attributes that can be represented. This paper proposes a new approach to visualize multiple attributes on graph edges without compromising their visibility...
Road congestion is a complex, significant and continuing problem. This project is concerned with urban road systems and traffic light control. The objective is to create a novel traffic controller which uses available forward road capacity (AFRC) detection and locality awareness in conjunction with existing backpressure methods as a means to reduce the duration of congestion. The controller is an...
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