This is an extended abstract for a presentation at The 17th International Conference on CUPUM - Computational Urban Planning and Urban Management in June 2021. This study presents an interdisciplinary synthesis of the state-of-the-art approaches in computer vision technologies to extract built environment features that could improve the robustness of empirical research in planning. We discussed the findings from the review of studies in both planning and computer science.

翻译：这是在2021年6月举行的第17次CUPUM-计算城市规划和城市管理国际会议上作介绍的延伸摘要,本研究报告对计算机视觉技术的最新方法进行了跨学科综合,以提取建筑环境特征,提高规划经验研究的稳健性,我们讨论了对规划和计算机科学研究的审查结果。