StereoNavNet: Learning to Navigate using Stereo Cameras with Auxiliary Occupancy Voxels

18 March 2024

Papers citing "StereoNavNet: Learning to Navigate using Stereo Cameras with Auxiliary Occupancy Voxels"

5 / 5 papers shown

Title
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data Lihe Yang Bingyi Kang Zilong Huang Xiaogang Xu Jiashi Feng Hengshuang Zhao VLM 139 681 0 19 Jan 2024
Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments Mingyo Seo Ryan Gupta Yifeng Zhu Alexy Skoutnev Luis Sentis Yuke Zhu 19 12 0 19 Sep 2022
StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks Hongyu Li Z. Li Neset Unver Akmandor Huaizu Jiang Yanzhi Wang T. Padır 25 10 0 18 Sep 2022
Leveraging Stereo-Camera Data for Real-Time Dynamic Obstacle Detection and Tracking Thomas Eppenberger Gianluca Cesari Marcin Dymczyk Roland Siegwart Renaud Dubé 88 43 0 21 Jul 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014