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The combination of the latest advances in numerical simulation platforms with the development of highly detailed computable human phantoms has led to very realistic results, turning them into powerful tools on the assessment of safety and compliance in the context of wireless power transfer applications. This work makes a deeper investigation of important simulation-related aspects typical of this...
Near-field measurements above a perfectly electrically conducting ground plane require an appropriate consideration of ground effects in the subsequent reconstruction of equivalent sources for the device under test and the transformation into the far-field.
The Cell Transmission Model for Urban Traffic (CTM-UT) is a macroscopic model with microscopic traffic elements for complex traffic dynamics of arterial and node. In this paper we presented the surrogate method (SM) to optimize the signal synchronization problem considering every turns in accord with the CMT-UT framework. Some extensions to improve the efficiency and efficacy of the surrogate method...
In this paper, a mathematical model for vehicle-occupant frontal crash is developed. The developed model is represented as a double-spring-mass-damper system, whereby the front mass and the rear mass represent the vehicle chassis and the occupant, respectively. The springs and dampers in the model are nonlinear piecewise functions of displacements and velocities respectively. More specifically, a...
Detection of moving and foreground objects is a key step in video-based object tracking within computer vision applications such as surveillance and traffic monitoring. Foreground object detection and segmentation is usually performed based on appearance. Hence, significant detection errors can be incurred due to shadows and light sources. Most existing shadow detection algorithms exploit a large...
Contemporary studies of Intelligent Transportation Systems (ITS) use simulations of vehicular and communications traffic, due to the ethical and practical infeasibility of conducting experiments on real transportation networks. Different simulators have been developed for modeling real-time vehicular mobility and inter-vehicular communication under varying traffic and roadway conditions. While most...
Camera systems are increasingly utilized in Intelligence, Surveillance and Reconnaissance (ISR) missions on manned and unmanned aircraft. For manned missions, the automatic control of the camera field of view and orientation through pan-tilt-zoom (PTZ) commands frees the pilot to perform higher cognitive functions. For unmanned missions, automatic PTZ commands enable higher degrees of autonomy. This...
Considering the sprawl of the cities, the conventional public transport (CPT) with fixed route and fixed schedule becomes less efficient and desirable every day. However, the emerging technologies in computation and communication are facilitating more adaptive types of public transport, such as Demand Responsive Transport (DRT) systems, which operate according to the demand. It is crucial to study...
The calculation of a ray's intercept from an arbitrary point in space to a prescribed surface is a common task in computer simulations. The arbitrary point often represents an object that is moving according to the simulation, while the prescribed surface is fixed in a defined frame. For detailed simulations, this surface becomes complex, taking the form of real-world objects such as mountains, craters...
A formal mathematical model of an Adaptive Cruise Controller (ACC)in SpaceEx is presented with a view to formally verify it to ensure its safety critical behavior. SpaceEx (an academic open source tool) is a hybrid systems modeling and verification platform which employs efficient implementation of reachability and safety verification algorithms which are scalable under certain assumptions, to circumvent...
The development of automotive electronics and software systems is often associated with high costs due to their multi-domain nature (including control engineering, electronics, hydraulics, mechanics, etc). The involvement of these different disciplines makes it difficult for control engineers to test their controllers with them being integrated in the whole system, in early development phases. By...
Today's automotive industry is making a bold move to equip vehicles with intelligent driver assistance features. A modern automobile is now equipped with a powerful computing platform to run multiple machine learning algorithms for environment perception (e.g., pedestrian detection) and motion control (e.g., vehicle stabilization). These machine learning systems must be highly robust with extremely...
Next-generation autonomous and semi-autonomous vehicles will not only precept the environment with their own sensors, but also communicate with other vehicles and surrounding infrastructures for vehicle safety and transportation efficiency. The design, analysis and validation of various vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) applications involve multiple layers, from V2V/V2I...
With increasing number of on-road transportation vehicles, the demand for passenger safety and comfort is inevitable. This inspired to develop technologically sophisticated automobiles with active safety systems that provide improved vehicle handling during critical driving situations. Yaw stability controller prevents the vehicle from spinning and drifting-out under loss of traction during a turning...
Vehicular Ad Hoc Networks (VANETs) are special class of Mobile Ad Hoc Networks (MANETs) formed by vehicles equipped with wireless gadgets. The communication in VANET occurs between Vehicle 2 Vehicle mode and Vehicle to road side unit forming an intelligent transport system. Routing plays an important role in forwarding the required data to the nodes or vehicles. In this paper we investigate the performance...
Vehicle analysis has been investigated for decades, which involves license plate recognition, intelligent traffic. Among these applications, vehicle make recognition is a challenging task due to the close appearance between car models. In this paper, we propose an architecture to recognize vehicle make based on convolutional neural network (CNN). The moving car is first localized by frame difference,...
This paper presents a vision based algorithm for obstacle detection and avoidance for autonomous land vehicle. For an efficient algorithm it is necessary to know the information about surrounding environment of vehicle. The whole environment is classified in two groups as obstacle and path. This classification helps to find the space for avoiding the obstacle. Data is acquired by a high resolution...
In this paper, we propose an automatic trust prediction mechanism based on Kalman filter for trust computation in VANET. The method fuses existing trust with the verified behavior of nodes to obtain an updated trust value iteratively. VANET is an adhoc network characterized by high node mobility and dynamic topology, where the vehicles exchange messages among them to enhance driving conditions. Due...
One of the major trends in traffic simulations is to take into account microscopic aspects of traffic flows at the street level. Multi-agent models such as MATSim (multi-agent transport simulation) have been highlighted for recent years as a solution to address these complex and microscopic simulation requirements. They are viewed as an emergent and collective behavior of agents, (i.e., vehicles)...
This paper deals with the design of a Proportional Integral (PI) observer to estimate the driver torque in an Electric Power Steering (EPS) system. The PI observer is obtained by solving a multi-objective optimization problem: it should both be barely sensitive to road disturbances and sensor noise, and converge swiftly. The performance of the proposed observer is illustrated by simulation results...
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