智能泊车辅助系统驾驶体验测评指标构建

针对当前行业内智能泊车辅助系统用户驾驶体验测试评价指标不完善的问题，提出了驾驶体验主客观测评指标并进行了试验验证及相关性分析。基于智能泊车辅助系统的功能逻辑，构建了智能泊车辅助系统驾驶体验闭环控制系统。结合闭环系统，采用体验阶梯金字塔模型构建主观评价指标体系，还采用GSM模型进行了客观指标构建。针对7款车型进行了实车测试，并利用皮尔逊相关性系数进行了分析。试验结果表明，所提出的评价指标可适用于测试对象的驾驶体验测评，且主客观相关性系数全部>0.5，能为智能泊车辅助系统的设计和测评提供参考。

Construction of Driving Experience Evaluation Indexes for Intelligent Parking Assist Systems

Aiming at the current industry issue of inadequate testing and evaluation indexes for the driving experience of intelligent parking assist system users, the paper proposes both subjective and objective evaluation indexes for driving experience. These indexes are experimentally validated and analyzed for correlation. Firstly, based on the functional logic of the intelligent parking assist system, a driving experience closed-loop control system is established. Subsequently, combined with the closed-loop system, the subjective evaluation index system is constructed using the experience ladder pyramid model. Then, the objective indexes are developed by using the GSM model. Finally, real-vehicle tests were conducted on seven car models and analysis was performed using Pearson correlation coefficients. The test results show that the proposed evaluation indexes are suitable for assessing the driving experience, with all subjective and objective correlation coefficients above 0.5, which provides guidance for the design and evaluation of intelligent parking assist systems.