KITTI Vision Benchmark Suite
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https://www.cvlibs.net/datasets/kitti
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资源简介：
KITTI Vision Benchmark Suite是由德国卡尔斯鲁厄理工学院和丰田美国技术研究院联合创办的自动驾驶场景计算机视觉算法评测数据集。该数据集用于评测立体图像、光流、视觉测距、3D物体检测和3D跟踪等计算机视觉技术在车载环境下的性能。数据集包含市区、乡村和高速公路等场景采集的真实图像数据，每张图像中最多达15辆车和30个行人，还有各种程度的遮挡与截断。
The KITTI Vision Benchmark Suite is an autonomous driving scenario computer vision algorithm evaluation dataset jointly launched by Karlsruhe Institute of Technology (KIT) of Germany and Toyota U.S. Technical Institute. This dataset is designed to evaluate the performance of computer vision technologies including stereo imaging, optical flow, visual odometry, 3D object detection and 3D tracking in automotive environments. The dataset includes real-world image data collected in scenarios such as urban, rural and highway environments. Each image contains up to 15 vehicles and 30 pedestrians, as well as various degrees of occlusion and truncation.
