PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation

29 November 2017

Papers citing "PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation"

8 / 108 papers shown

Title
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 41 987 0 21 Feb 2019
Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors Tong He Stefano Soatto 22 127 0 11 Jan 2019
Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection Lu Zhang Xiangyu Zhu Xiangyu Chen Xu Yang Zhen Lei Zhiyong Liu 21 17 0 09 Jan 2019
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving Yan Wang Wei-Lun Chao Divyansh Garg Bharath Hariharan M. Campbell Kilian Q. Weinberger 3DPC 81 989 0 18 Dec 2018
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud Shaoshuai Shi Xiaogang Wang Hongsheng Li 3DPC 49 2,381 0 11 Dec 2018
Generating 3D Adversarial Point Clouds Chong Xiang C. Qi Bo-wen Li 3DPC 24 286 0 19 Sep 2018
Robust Deep Multi-modal Learning Based on Gated Information Fusion Network Jaekyum Kim Junho Koh Yecheol Kim Jaehyung Choi Youngbae Hwang Jun-Won Choi 35 64 0 17 Jul 2018
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection Di Feng Lars Rosenbaum Klaus C. J. Dietmayer 3DPC UQCV 24 242 0 13 Apr 2018