Vision and lidar are complementary sensors that are incorporated into many applications of intelligent transportation systems. These sensors have been used to great effect in research related to perception, navigation, and deep learning applications. Despite this success, the validation of algorithm robustness has recently been recognized as a major challenge for the massive deployment of these new technologies.

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开发和测试强大的自治：美国悉尼大学校园数据集

视觉和激光雷达是互补的传感器，它们被整合到智能交通系统的许多应用中。这些传感器已在与感知、导航和深度学习应用相关的研究中发挥了巨大作用。尽管取得了这一成功，但算法稳健性的验证最近被认为是大规模部署这些新技术的主要挑战。