… Object detection and tracking play a fundamental role in enabling Cooperative Driving
Automation (… vision technologies can provide satisfactory object detection results in occlusionfree …

… Next, we introduce deep object detection and semantic … For a more comprehensive overview
on object detection and semantic … vision problems in autonomous driving (eg optical flow, …

… However, the detection methods and datasets related to roadside LiDAR … in object detection
using roadside LiDAR in detail, aiming to establish an overall landscape for object detection …

… object detection technologies focusing on both the sensory systems and algorithms used. It
begins with a brief introduction on the autonomous driving … playing in object detection tasks, …

… object detection in autonomous driving scenarios are discussed in this section. Section IV
introduces deep learning (DL) and the factors that make DL a powerful technique in computer …

… Abstract—We propose a 3D object detection and pose estimation method for automated driving
using … These are essential conditions to exploit an algorithm for highly automated driving. …

… to object detection algorithm for the functionality under development. In order to analyse
uncertainty of object detection for Automated Driving … factors on object detection with Average …

… detection methods. First, we introduce the tasks, evaluation criteria, and datasets of object
detection for autonomous driving… object detection, the fusion of lidar and vision in autonomous …

… or driving through a tunnel. In this paper, we explore CNN based fusion architecture for object
detection. … pedestrian dataset and FLIR thermal object detection dataset. We train baseline …

… 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 …