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This paper discusses data-fusion algorithms for computing the “Time-to-Lane-Crossing” (TLC) of a vehicle traveling along a lane on the basis of road images, collected by an on-board video-camera, and kinematic data coming from car sensors. Such algorithms are instrumental to built Lane Departure Warning Systems (LDWS) with enhanced predictive capabilities and tolerant to a certain amount of errors...
E-Eyanthra is a schema to prevent drunken driving. This paper presents a novel idea to detect drunken driving by infrared wave analysis of the driver's sweat to detect ethanol. The basis for this scheme is Blood Alcohol Concentration (BAC). Ethanol present in sweat is detected using IR sensors. In order to prevent the driver from drinking while driving, analysis is carried out periodically in the...
Modern vehicles carry GPS, music systems, sunroofs and a number of other electronic gadgets. Interaction with these devices while driving often takes the driver's eyes ??Off the road?? and raises safety concerns. We are proposing a new design of haptic controls which uses `sense of touch'. A peculiar set of distinguishable haptic feedback which links to a corresponding device allows the user to operate...
One opportunity to manage the increase of freight transportation and to optimize utilization of motorway capacities is the concept of truck platoons. With the aid of Advanced Driver Assistance Systems, trucks are electronically coupled keeping very short gaps (approx. 10 meters) to form truck platoons on motorways. This contributes to optimization of traffic flow and reduction of fuel consumption...
After studying the existing methods of collision detection and early warning, a vehicle auxiliary anti-collision warning system based on positioning in electronic map is proposed. In this system, OBD, GPS, vehicle sensor and wireless LAN technologies are used to obtain the driving information of a vehicle itself and other vehicles around, and map positioning technologies to display the positions of...
This paper studies a framework of controlling a system with multiple interactive control loops including a continuously activated primary loop and discretely activated secondary loops. The structure of the controller in the primary loop is unknown while its output is observable and the controllers in secondary loops are subject to design such that the control performance of the primary loop can be...
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...
The driver assistance system is more and more widely used with the development of automobile industry. The driver assistance system based on pervasive computing integrates the function of computing, communicating and sensing, which can assure the driving safety and prejudging the traffic emergency by sharing the information among vehicles of the same district. The structure and working principle of...
The number of vehicles on the road as well as the human drive time is increasing significantly. Many drivers are increasing their attempts to multi-task while driving including eating, drinking, entertainment control etc. A relatively new domain has emerged over the last 5 years focused on increased technology in the vehicle based on: GPS navigation systems, traffic, weather warning systems, advanced...
In this paper, we deal with an original advanced driver assistance system (ADAS) based on the use of omnidirectional vision and an evidential fusion architecture. The panoramic perception solution permits us to address efficiently the problem of close vehicles detection but also the monitoring side traffic system. The fusion and integration of this sensorial data stream is assumed by a credibilist...
In this paper we present our multimedia corpus of real-world driving data (NUDrive), built with the primary objective of firming foundations for applying digital signal processing technologies in the vehicular environment. NUDrive is a content rich corpus composed of driving, speech, video, and physiological signals. So far, we have collected data from 250 drivers, who drove an instrumented vehicle...
This study presents a new method of analyzing whether a vehicle is in a dangerous driving condition while travelling along a highway. We use data from various sensors installed on the vehicle, which represent the driving attributes associated with a particular driving scenario, as inputs to our system. However, as some of these sensors may be dependent on each other, using redundant attributes to...
In this paper, a multi-sensor based perception network for vehicle driving assistance is described. The network could reconstruct the 3D real world from the data obtained by the sensors, recognize dangerous occasions in advance and give the driver a suggestion or warning to prevent from the accident. Vehicle driving assistance is a research area which requires high accuracy and precision. The purpose...
This paper considers security requirements for automotive on-board networks and describes the processes used for identifying and prioritizing such requirements. The security engineering process starts from use cases for automotive onboard networks that require wireless communication interfaces and involves an investigation of security threat scenarios and the assessment of the relative risks associated...
Correcting video sensing error problems for traffic surveillance was hard investigated over the last years. Several parameters such as light intensity, image quality and resolution, and in general all the key factors related to image capture were considered. We have investigated here a modified MCMC approach based on the influence of typical patterns of driving behavior. These patterns are tested...
As the world continues to enhance and strengthen its emergency services, mobile phones may be used to aid in safe driving practices and detection of emergencies. To our knowledge, no work has been reported in understanding vehicle motion using accelerometers/compass in cell phones. In this paper, we used the multiple sensors in a Google phone to classify safe versus unsafe driving. In particular,...
A fast warning response to an impending crash based on vision/GPS sensing together with V2V communication has been realized to achieve line marking recognition, neighboring vehicles detection, and headway estimation, where a distributed embedded dual-platform DaVinci+XScale-NAV270 was built to improve system effectiveness as well as a data fusion QT-BPNN/ANFIS was applied to dissolving the heterogeneous...
It is important that monitoring tank-lorries and bulk-lorries which transport poisonous gas, flammable materials. For safety, continuous monitoring the status of vehicles and tanks is needed in the course of following the entire path from start point to the destination. Therefore, in this paper, we propose about the safety monitoring system for a tank-lorry carrying dangerous gases. By the sensor...
Driving through streets of an inner city such as a downtown area sometimes can be frustrating. One might have to wait for a traffic light to turn green at an intersection where there is no car on the cross street. Or, there may be a lot of cars on the cross street that must be cleared in order to make the traffic flowing. The objective of this project is to develop an intelligent traffic controller...
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