MCMC road unevenness detection method based on point cloud

• Main Authors: DU YU, PEI YIDAN, HAN SHIYUAN, LIU JIE, HAN RUIZHI, ZHANG WEIHAO, HE GUANGMING, SHAN CAIYUN
• Format: Patent
• Language: Chinese; English
• Published: 20.08.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention aims to provide a point cloud-based MCMC road unevenness detection method, which comprises the following steps: firstly, sampling by using point cloud data to form a sample, carrying out state definition and initialization on the sample, then constructing a Markov chain and calculating a state transition matrix, each state representing the proportion of different road levels in the sample, the calculation result of the state transition matrix can be used for simulating and capturing the transition relation of the road unevenness among different levels, and more comprehensive road unevenness distribution is obtained from the perspective of statistics. 本发明的目的在于提供一种基于点云的MCMC道路不平度检测方法，首先，利用点云数据进行抽样形成样本，对样本进行状态定义和初始化，然后构建马尔可夫链并计算状态转移矩阵，每个状态代表样本中不同道路级别的占比，状态转移矩阵的计算结果可用以模拟和捕捉道路不平整度在不同级别之间的转移关系，从统计学的角度获得更全面的道路不平整度分布。