Roarnet: A robust 3d object detection based on region approximation refinement
We present RoarNet, a new approach for 3D object detection from 2D image and 3D Lidar
point clouds. Based on two stage object detection framework ([1],[2]) with PointNet [3] as our …
point clouds. Based on two stage object detection framework ([1],[2]) with PointNet [3] as our …
RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement
K Shin, YP Kwon, M Tomizuka - arXiv preprint arXiv:1811.03818, 2018 - arxiv.org
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 …
point clouds. Based on two-stage object detection framework with PointNet as our backbone …
RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement
K Shin, YP Kwon, M Tomizuka - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
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 …
point clouds. Based on two-stage object detection framework with PointNet as our backbone …
RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement
K Shin, YP Kwon, M Tomizuka - 2019 IEEE Intelligent Vehicles …, 2019 - dl.acm.org
We present RoarNet, a new approach for 3D object detection from 2D image and 3D Lidar
point clouds. Based on two stage object detection framework ([1],[2]) with PointNet [3] as our …
point clouds. Based on two stage object detection framework ([1],[2]) with PointNet [3] as our …