A Parking Evaluation System Based on the BDS and Intensity Distance Scoring Algorithm

In this paper, a parking evaluation system based on the BDS (BeiDou Navigation Satellite System) and IDS (Intensity Distance Scoring) algorithm has been proposed. Real-time kinematic (RTK) positioning technology and an extended Kalman filter (EKF) algorithm were applied to the BDS to achieve centimeter-level positioning. A dynamic error experiment was performed to verify the positioning accuracy. The parking evaluation system was developed using the IDS algorithm to score parking trajectories. A parking experiment was carried out in a simulated field to prove the effectiveness of the parking evaluation system. With the IDS algorithm, a parking lot in the simulation was modeled using an 8-bit grayscale map image. The map contains 1 departure area, 5 obstacle areas, and 2 parking areas. The intensity of each pixel in the remaining area is inversely proportional to its shorter distance to the two parking areas. The IDS algorithm evaluates parking through three aspects, the choice of different parking trajectories, parking time, and whether an obstacle area is passed through, which can effectively judge the driver’s parking technology.