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The following topics are dealt with: pervasive intelligence; vehicle-to-vehicle networking; object detection; vehicular electronics; object tracking; traffic monitoring; collision avoidance system; and human computer interface.
Today's vehicles have the capability of sensing, computing, and communicating capabilities. Different components in the vehicle constantly exchange the available information with other vehicles on the road and cooperate for the purpose of ensuring safety and comfort, known as vehicular ad hoc network (VANET). VANETs are a specific type of mobile ad hoc networks (MANETs) that are currently attracting...
Vehicular communication technologies are on their way to be recognized as staples of modern societies. One important challenge to safety-related applications of vehicular communication is provision of semi-precise positioning. Cooperative positioning is proposed for that purpose, and of course from research point of view is very attractive. From the practical point of view the attractiveness of cooperative...
In this paper, we propose a constrained weighting scheme of inter-vehicle communication assisted localization (CWS-IVCAL). CWS-IVCAL takes into consideration the location estimate uncertainty maintained by vehicles that use IVCAL as a localization technique. In IVCAL, communication among vehicles is utilized to compute inter-vehicle distances, which are integrated with motion information and GPS measurements...
In this paper, the impact of the knowledge of non local traffic state through vehicular ad hoc network (VANET) communication on traffic stability is studied through microscopic traffic simulation. In particular, the effect of this communication through modification of driver behavior is evaluated. Intra-driver behavior such as non negligible reaction time, anticipation, limited attention spans and...
With increasing popularity of inter-vehicular communication, the need to provide emergency and infotainment services to vehicles in a fair and efficient manner is top priority. These data items can be downloaded or uploaded from a Hotspot which is Roadside Unit. The only difference between a hotspot and a roadside unit is hotspots are kept far apart as compared to roadside units. When many vehicles...
The automatic detection and recognition of car number plates has become an important application of artificial vision systems. Since the license plates can be replaced, stolen or simply tampered with, they are not the ultimate answer for vehicle identification. The objective is to develop a system whereby vehicle identification number (VIN) or vehicle chassis number is digitally photographed, and...
This paper is focused on the characterisation of the GNSS reception signals environment by estimating the percentage of visible sky. The estimation is based on a new segmentation technique that uses color and texture gradients with an adaptive and non-parametric combination strategy. The structural gradient, resulting from the combination, is processed with the watershed algorithm to get image segmentation...
Scheduling messages with offsets is proved to be an effective method to reduce the Worst Case Response time (WCRT) for messages on the CAN bus. But there is no method available in related literatures except some commercial tools to calculate WCRT for messages with offsets. Conventional method assumes that a so-called critical instant exists, but it doesn't happen at most case. This paper proposes...
Motivated by the requirement of Formula Manipal, Manipal University's official entry into Formula SAE (Society of Automotive Engineers), a DAQ (Data acquisition) system was designed. This document describes the approach used to achieve the primary design goal of overall reduction in acquisition to analysis time. The DAQ system for Formula Manipal needed to be rugged, deterministic, modular, flexible,...
In this paper a new and flexible 360??-environment sensing system using short range radar sensors and active seat belt pretensioners is presented. To detect critical targets from a wide variety of closing angles, a total of only four radar sensors is used. The number of sensors can be changed, without altering the underlying sensor fusion and target detection algorithms. The challenges of pre-crash...
Recent literature has introduced several methods for processing an out-of-sequence measurement (OOSM) in tracking for both the 1-step-lag and ??-step-lag case. However, in a realistic tracking application, a data association algorithm, such Joint Probabilistic Data Association (JPDA) must be used in order to associate measurements with tracks in a cluttered environment. This paper investigates the...
Data association is one of the crucial parts in the reliable objects' tracking system. In this paper, a methodology for data association using an Oriented Bounding Box based object representation is presented. A laser scanner sensor is used for objects perception. A data association algorithm for coalescing objects is described. The algorithm is based on the Nearest Neighbours principle enriched by...
In this study, we propose intersection collision avoidance system in preventing traffic crashes at typical urban intersections. The proposed intersection crash prevention system would display the crash warning messages to the drivers when crash-prone conditions are detected through the sensor system installed along intersection approaches. It would further change the traffic signal setting in real-time,...
In this paper, we propose a comprehensive system with a novel approach, that uses a plurality of ranging sensors in a single framework, for on-road vehicle safety. Based on different activation conditions, this generic framework would assist during different driving scenarios viz. Collision warning, overtake assist, parallel parking assist, adaptive cruise control, and door opening warning.
Awareness to a vehicle's surrounding is necessary for safe driving. Current surround technologies focus on the detection of obstacles in hard-to-view places but may neglect temporal information. This paper seeks the causes of dangerous situations by examining surround behavior. A general hierarchical learning framework is introduced to automatically learn surround behaviors. By observing motion trajectories...
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