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This paper proposes an efficient hybrid positioning method for land vehicles in urban area. As widely known, any single satellite positioning system suffers from the lack of satellite visibility in urban area. To improve positioning availability in urban area, the proposed method integrates a GPS/BeiDou receiver, an OBD-II (On-Board Diagnostics-II) device, and a MEMS IMU (Micro Electro Mechanical...
This paper describes a novel approach to moving-baseline carrier-phase differential GPS (DGPS) and a vehicle-to-vehicle object system based on the approach. In order to achieve sub-decimeter level accuracy, a Bayesian network is proposed to fuse measurements from GPS and low-cost vehicle dynamic sensors for trajectory reconstruction. A fast recursive implementation whose complexity scales linearly...
We describe a centimeter-level ground-truth system based on GPS relative positioning. One of the goals of the system is for performance evaluation of automotive radars by creating objective test procedures for the radars. In support of this goal, an effective scheme is used to handle signal attenuation or blockage that leads to the changes of satellite visible map and cycle slip. Multiplatform GPS...
The advanced driver assistance systems (ADAS systems) based on cooperation between vehicles can offer serious perspectives to the road security. The inter-vehicle cooperation is made possible thanks to the revolution in the wireless mobile ad hoc network. This paper presents an application of the V2V communications. The car tracking using the GPS receivers is not always ideal in urban areas. To resolve...
For most tracking applications the Kalman filter is reliable and efficient, but it is limited to a relatively restricted class of linear Gaussian problems. Particle filters are proving to be dependable methods for stochastic dynamic estimation. We will present in this paper, an accurate localization strategy for vehicles in urban environments based on the particle filters, the communication between...
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