This paper proposes a vision-based indoor localization method for autonomous vehicles. A single upward-facing digital camera was mounted on an autonomous vehicle and used as a vision sensor to identify artificial landmarks and any natural corner features. An interest point detector was used to find the natural features. Using an optical flow detection algorithm, information related to the direc...

This paper describes the design of a system for estimating the pose of a camera mounted on a vehicle which moves over a flat floor. The system has been designed to work in conjunction with an obstacle avoidance scheme. Measurements are derived from a sequence of images captured by a single camera rigidly mounted on the vehicle and looking at the floor, and combined with measurements of the vehi...

This paper proposes a novel distance measuring scheme for ultra wide-band vehicle radar systems. The proposed scheme measures the distance between a vehicle and an obstacle based on repeated use of a single short pseudo random sequence. The numerical results show that the proposed scheme provides a shorter mean distance measuring time while keeping a similar measurement error performance to tha...

Vehicle classification data are used for numerous transportation applications. Most of the classification data come from permanent in-pavement sensors or temporary sensors mounted on the pavement. Moving out of the right-of-way, this study develops a LIDAR (light detection and ranging) based classification system with the sensors mounted in a side-fire configuration next to the road. The first ...

Let G = (V;E) be a graph. The travel times w(u; v) and w(v; u) are associated with each edge fu; vg 2 E, and a job, which is also denoted as v, is located at each node v 2 V . Each job v has release time r(v) and handling time h(v). A start node s 2 V and a set Q V of goal nodes are speci ed. The VSP (Vehicle Scheduling Problem) asks to nd a routing schedule of the single vehicle that starts fr...

Video-based vehicle detection has received considerable attention over the last ten years and there are many deep learning based detection methods which can be utilized to solve the problem. However, these methods are devised for still images and applying them for video vehicle detection directly always obtain poor performance. In this work, we propose a new one-stage video-based vehicle detect...

Vehicle scheduling is the process of assigning vehicles to a set of predetermined trips with fixed starting and ending times, while minimizing capital and operating costs. This paper considers modeling, algorithmic, and computational aspects of the polynomially solvable case in which there is a single depot and vehicles are identical. A quasiassignment formulation is reviewed and an alternative...

injuries suffered in vehicle traffic crashes are the leading cause of death among children in many countries. prevention of injuries of children in raod accidents is still a challenge. the present lecture discuss the commonly injuried body regions in children involved in motor and non-motor vehicle traffic crashes. head, ribs and lung are commonly injured body regions among children under 8 yea...