StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks

18 September 2022

Papers citing "StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks"

7 / 7 papers shown

Title
OccLinker: Deflickering Occupancy Networks through Lightweight Spatio-Temporal Correlation Fengcheng Yu Haoran Xu Canming Xia Guang Tan Guang Tan 68 0 0 21 Feb 2025
ODTFormer: Efficient Obstacle Detection and Tracking with Stereo Cameras Based on Transformer Tianye Ding Hongyu Li Huaizu Jiang 42 0 0 21 Mar 2024
StereoNavNet: Learning to Navigate using Stereo Cameras with Auxiliary Occupancy Voxels Hongyu Li T. Padır Huaizu Jiang 36 2 0 18 Mar 2024
Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications Junyi Ma Xieyuanli Chen Jiawei Huang Jingyi Xu Zhen Luo Jintao Xu Weihao Gu Rui Ai Hesheng Wang 24 22 0 29 Nov 2023
ViHOPE: Visuotactile In-Hand Object 6D Pose Estimation with Shape Completion Hongyu Li Snehal Dikhale Soshi Iba Nawid Jamali 3DH 42 12 0 11 Sep 2023
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review Arman Asgharpoor Golroudbari M. Sabour 16 19 0 22 Feb 2023
Leveraging Stereo-Camera Data for Real-Time Dynamic Obstacle Detection and Tracking Thomas Eppenberger Gianluca Cesari Marcin Dymczyk Roland Siegwart Renaud Dubé 93 43 0 21 Jul 2020