ODTFormer: Efficient Obstacle Detection and Tracking with Stereo Cameras Based on Transformer

21 March 2024

Papers citing "ODTFormer: Efficient Obstacle Detection and Tracking with Stereo Cameras Based on Transformer"

4 / 4 papers shown

Title
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
A real-time dynamic obstacle tracking and mapping system for UAV navigation and collision avoidance with an RGB-D camera Zhefan Xu Xiaoyang Zhan Baihan Chen Yumeng Xiu Chen-Yuo Yang Kenji Shimada 21 21 0 17 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
Feature Pyramid Networks for Object Detection Tsung-Yi Lin Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 166 21,643 0 09 Dec 2016