most citedepBRM: Improving a Quality of 3D Object Detection using End Point Box Regression Module

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cs.CV2019★ 1 cited

epBRM: Improving a Quality of 3D Object Detection using End Point Box Regression Module

Kiwoo Shin, Masayoshi Tomizuka

We present an endpoint box regression module(epBRM), which is designed for predicting precise 3D bounding boxes using raw LiDAR 3D point clouds. The proposed epBRM is built with se…

cs.CV2018

RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement

Kiwoo Shin, Youngwook Paul Kwon, Masayoshi Tomizuka

We present RoarNet, a new approach for 3D object detection from a 2D image and 3D Lidar point clouds. Based on two-stage object detection framework with PointNet as our backbone ne…