The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Transportation is more and more important in social and economic development. However, it also causes resource waste and environment pollution problems as well. Hence, it is necessary to take energy consumption minimization into consideration when we deal with vehicle routing problems (VRP). Most of previous researches about energy minimization vehicle routing problem (EMVRP) assume that the vehicles...
Compared with the traditional video-based traffic surveillance, the highly-mounted video can surveil a larger range of traffic scene, and the vehicles in the video are rarely occluded. These characters of highly-mounted video-based traffic surveillance system make it more suitable for acquiring the traffic information of a larger traffic area. This paper present a framework of using highly-mounted...
This note investigates the consensus problem of network of agents with state constraint, while few researchers consider such problem. A simple distributed algorithm named discarded consensus algorithm is presented for weighted directed network of agents. The proposed method ensures the network reaching a consensus while keeping the state estimate of each agent within its own constraint if the digraph...
This paper presents a real-time object segmentation approach for visual object detection in dynamic scenes. This object segmentation approach is based on a novel general object feature which is defined subtly combining multiple low-level features and the uniqueness of the target object. Then the object segmentation approach is applied to detect vehicle and lane marking in dynamic scenes. Experiment...
This paper presents a real-time long-range lane detection and tracking approach to meet the requirements of the high-speed intelligent vehicles running on highway roads. Based on a linear-parabolic two-lane highway road model and a novel strong lane marking feature named Lane Marking Segmentation, the maximal lane detection distance of this approach is up to 120 meters. Then the lane lines are selected...
This paper presents a vision-based real-time vehicle detection approach. Combining segmenting the specific shadow area underneath the vehicle and using SVM-based classifier, the proposed approach is accurate and efficient for intelLigent vehicle. Experiment results with test dataset from real traffic scenes on freeways and urban roads are presented to illustrate the performance of this approach.
This paper presents a cross-verification approach to fuse radar and vision data for vehicle detection. Firstly, a realtime vision approach using specific shadow segmentation is used to detect vehicles in whole image independently. The fusion approach contains two steps: matching and validation. The targets respectively from radar and vision verify each other in matching process. Then the unmatched...
On the basis of the vehicle license plate location, an image grey vertical projection segmentation approach based on the distribution character segmentation is proposed in this paper. A two-stage approach consisting of coarse and accurate segmentation is adopted. It can increase the accuracy of the segmentation and has good segmentation speed. And in recognition process, character features are extracted...
IIM CAS is now working on simulation platform for driverless vehicle to test some functions of driverless vehicle. The overall architecture of this system is presented and the key components are illustrated briefly. In virtual scene, its intelligent behavior is emphasized and the intelligent virtual traffic environment framework is given out. In the light of the difference of creditability analysis...
A study on intelligent scooping control strategy for the so called LHD (Load-haul-dump) units used in underground mining is proposed in this paper. A scooping cycle of the LHD units was divided in to three phases, called insertion, scoop-up and ascend respectively, and the control strategy of each phase was suggested. The scoop-up was the key phase during a scooping cycle. In this phase, the concept...
A novel four degree of freedom (four-DOF) motion system for validation platform of driverless vehicle has been proposed. This motion system consists of four primary components-a turn table, a three-DOF parallel manipulator, an active platform and a road surface simulation subsystem-which are described in detail in the following sections. Kinematics solution of this motion system has been derived to...
A novel platform which can be used to simulate and evaluate the intelligent behavior of driverless vehicle is presented in this paper. The platform is mainly composed of two subsystems: Road Simulation (RS) subsystem, Intelligent Virtual Traffic Environment (IVTE) subsystem. The RS subsystem is designed to obtain friction information between tires and road surface, which can be used to simulate dynamic...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.