https://sites.google.com/site/ykchoicv/multispectralhttps://sites.google.com/site/smhwangcv/datmo_sensor_fusionFor many robotics and intelligent vehicle applications, detection and tracking multiple objects (DATMO) is one of the most important components. However, most of the DATMO applications have difficulty in applying real-world applications due to high computational complexity. In this paper, we propose an efficient DATMO framework that fully employs the complementary information from the color camera and the 3D LIDAR. For high efficiency, we present a segmentation scheme by using both 2D and 3D information which gives accurate segments very quickly. Finally, we show
that our framework is faster (4Hz) than the state-of-theart methods reported in KITTI benchmark (>1Hz) with competitive accuracy.