A Simple Baseline for Multi-Camera 3D Object Detection

Understand

3D object detection with surrounding cameras has been a promising direction for autonomous driving.

• In this paper, we present SimMOD, a Simple baseline for Multi-camera Object Detection, to solve the problem.
• To incorporate multi-view information as well as build upon previous efforts on monocular 3D object detection, the framework is built on sample-wise object proposals and designed to work in a two-stage manner.
• First, we extract multi-scale features and generate the perspective object proposals on each monocular image.