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The sound radiation from vehicles moving on city road with T intersection is considered. The solution of problem is found on the base of superposition of the solutions with taking into account of wind effect in acoustic field for the cases of vehicles move along straight roads and roads with the right-angle bend. The numerical analysis of traffic noise characteristics is carried out for the T junction...
This paper describes a novel method for the location of road vehicles using vehicle pitch data obtained from on-board sensors. The method encodes the road map data using linear dynamical models, and then, during travel, identifies the vehicle location through continuous validation of the previously obtained linear models. The approach presented has several advantages over previous approaches in the...
This paper introduces a new method for enhancing highway safety and efficiency by coordinated control of vehicle platoons. One of our aims is to understand influence of communication network topologies and uncertainties on control performance. Vehicle deployment is formulated as a weighted and constrained consensus control problem. Algorithms are introduced and their convergence properties are established...
Target Detection involves the task of identifying and zeroing in on those set of pixels of an image that contain the required information (target). It has potential applications in diverse fields including automatic surveillance of large areas, illegal vehicle movement tracking in remote areas etc. This technique poses many challenges in terms of retaining only the target pixels by identifying and...
We propose a method to judge a walker's intention around pedestrian lights by using fuzzy rules. We detect pedestrian object in a movie of crosswalk area by using the code book method and acquire contour information. To improve the processing speed in this stage, we use parallel processing technique based on CUDA (Compute Unified Device Architecture). Now, we remove shadow which causes shape distortion...
One-way-travel-time (OWTT) acoustic ranging has received considerable attention as improvements to acoustic modems and electronic clocks have made it a feasible navigation tool. This paper reports the results of simulations investigating the effect of utilizing inter-vehicle ranging for autonomous underwater vehicle (AUV) navigation. In these simulations, a fleet of AUVs operates in shallow water...
Remotely-Operated Vehicles (ROVs) serve many functions during site characterization surveys including dive team assistance, quality control, and anomaly reacquisition. Reacquisition applications require detection, geo-registration, and investigation of items of interest located on, or below, the seafloor. Underwater target detection using ROVs poses many challenges. Detection sensors must be mounted...
We address the problem of controlling a stochastic version of a Dubins vehicle such that the probability of satisfying a temporal logic specification over a set of properties at the regions in a partitioned environment is maximized. We assume that the vehicle can determine its precise initial position in a known map of the environment. However, inspired by practical limitations, we assume that the...
Designing a controller that is scalable, robust, and that can adapt to an arbitrary configuration is one of the major challenges of modular robotics. This paper takes one step forward in addressing this challenge by presenting a methodology for controlling any flight-feasible configuration of a modular flying vehicle, in this case the Distributed Flight Array (DFA). In this work we present a well-structured,...
Driver assistance systems in today's cars assist drivers when the car is in motion. However, there is relatively less, to almost no work on assistance systems when the car is stationary. This paper focuses on such a system, and describes the design and realization of a collision avoidance system for a novel car door assistance system, the smart car door. An omnidirectional camera is attached to each...
We introduce an incremental total least-squares vehicle mass estimation algorithm, based on a vehicle longitudinal dynamics model. Available control area network signals are used as model inputs and output. In contrast to common vehicle mass estimation schemes, where noise is only considered at the model output, our algorithm uses an errors-in-variables formulation and considers noise at the model...
Vehicle classification based on their acoustic emission is a complex problem. Vehicle consist of many noise sources, and environmental noise can also be significant. The key to efficient vehicle classification is choosing the optimal feature extraction method. In this article three methods are presented, each relating to properties of vehicle noise. Methods are compared in context of their separability...
In order to accurately obtain muffler transmission loss, using Mechel model and Sysnoise software combination to obtain muffler transmission loss and experiments verify the correctness of the method, and then applies it to a noise control examples, on the vehicle exhaust muffler optimized, real vehicle test results show that the optimization measures an effective solution of the vehicle noise problem,...
As part of human-centered driver assist framework for holistic multimodal sensing, we present an evaluation of independent vector analysis for speaker recognition task inside an automotive vehicle. Independent component analysis-based blind source separation algorithms have attracted attentions in recent years in the application of speech separation and enhancement. Compared to the traditional beamforming...
Ego-localization is a key issue for most autonomous robots and vehicles. Indeed, the ability to take a proper decision (avoidance, path-finding, etc.) relies on the knowledge of one's particular environment on one hand and on its relative positioning in this environment on the other hand. As such, this issue has been addressed multiple times in the past few years. This work extends a multi-sensor...
The aim of this work is to support a driver by notifying the information of traffic signals in accordance with their visibility. To avoid traffic accidents, the driver should detect and recognize surrounding objects, especially traffic signals. However, when driving a vehicle under rainy weather conditions, it is difficult for drivers to detect or to recognize objects existing in the road environment...
This paper presents a filter algorithm that derives robust input values for longitudinal control of driver assistance systems, based on noisy scale change measurements from a monocular video system. In particular, we calculate filtered scale change and reliable Time-To-Collision (TTC), two values that can be applied for video based Active-Cruise-Control and Forward-Collision-Warning systems.
Perception of the surrounding environment is one of the many tasks an automated vehicle has to achieve in complex and ever-changing surroundings. This typically includes several distinct sub-tasks, such as map-building, localisation, static obstacles detection, pedestrian detection,… Some of these tasks are nowadays very well known, such as map-building, whereas the perception, localisation and classification...
In this paper, we implemented the outdoor Visible Light Communication (VLC) system based on Controller Area Network (CAN) which is normally used in a car, plane, ship, product line control system, medical device and industrial device. For vehicle to vehicle (V2V) or indoor vehicle communication, we used common use device such as head light and back light. We made an application circuit and explained...
This paper deals with the problem of optimal filtering for linear discrete constrained dynamic systems. The constraint matrix and constraint vector in this system are allowed to vary not only in the value but also in the dimension. Firstly, the original constrained state is transformed into a new reduced state model without constraint. Then, the prediction of the reduced state is given by using the...
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