… for autonomous driving that … autonomous driving, such as scene flow and scene construction.
Recently, Arnold et al. [10] survey the 3D object detection problem in autonomous driving. …

… study for probabilistic object detection based on an image detector and three public …
object detection, one of the most important perception problems in autonomous driving. An …

… This paper aims at high-accuracy 3D object detection in autonomous driving scenario. We
propose Multi-View 3D networks (MV3D), a sensory-fusion framework that takes both LIDAR …

… Nonetheless, the detection accuracy of such methods needs … object detection methods used
for autonomous driving applications. This paper presents an overview of 3D object detection …

… We review literature that are closely related to 3D object detection in the context of
autonomous driving. Depending on what modality we use, existing efforts are divided into the …

… The focus of this paper is on high-performance 2D and 3D object detection from monocular
imagery in the context of autonomous driving. Most of the recent object detection pipelines […

… , and categories of the 3D objects near an autonomous vehicle, is an important part of … object
detection for autonomous driving. First, we introduce the background of 3D object detection …

… framework based on a single RGB image in the scenario of autonomous driving. Our efforts
… the object without point cloud or stereo data. Leveraging the off-the-shelf 2D object detector, …

… autonomous driving. We here provide an easy-to-use benchmark to assess how object
detection … We show that a range of standard object detection models suffer a severe performance …

… In this paper, the model used for object detection is described in detail (see in Section A). After
… -based object detection and recognition framework was proposed for autonomous driving. …