138 citations · 296 across the 12 of their papers we have counts for
10 papers · 1 filter
Li3DeTr: A LiDAR based 3D Detection Transformer
Gopi Krishna Erabati, Helder Araujo
Inspired by recent advances in vision transformers for object detection, we propose Li3DeTr, an end-to-end LiDAR based 3D Detection Transformer for autonomous driving, that inputs…
MSF3DDETR: Multi-Sensor Fusion 3D Detection Transformer for Autonomous Driving
Gopi Krishna Erabati, Helder Araujo
3D object detection is a significant task for autonomous driving. Recently with the progress of vision transformers, the 2D object detection problem is being treated with the set-t…
EndoSLAM Dataset and An Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
Kutsev Bengisu Ozyoruk, Guliz Irem Gokceler, Gulfize Coskun +12
Deep learning techniques hold promise to develop dense topography reconstruction and pose estimation methods for endoscopic videos. However, currently available datasets do not sup…
3D Reconstruction with Low Resolution, Small Baseline and High Radial Distortion Stereo Images
Tiago Dias, Helder Araujo, Pedro Miraldo
In this paper we analyze and compare approaches for 3D reconstruction from low-resolution (250x250), high radial distortion stereo images, which are acquired with small baseline (a…
Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots
Mehmet Turan, Yasin Almalioglu, Helder Araujo +2
Ingestible wireless capsule endoscopy is an emerging minimally invasive diagnostic technology for inspection of the GI tract and diagnosis of a wide range of diseases and pathologi…
Sparse-then-Dense Alignment based 3D Map Reconstruction Method for Endoscopic Capsule Robots
Mehmet Turan, Yusuf Yigit Pilavci, Ipek Ganiyusufoglu +3
Since the development of capsule endoscopcy technology, substantial progress were made in converting passive capsule endoscopes to robotic active capsule endoscopes which can be co…
A fully dense and globally consistent 3D map reconstruction approach for GI tract to enhance therapeutic relevance of the endoscopic capsule robot
Mehmet Turan, Yusuf Yigit Pilavci, Redhwan Jamiruddin +3
In the gastrointestinal (GI) tract endoscopy field, ingestible wireless capsule endoscopy is emerging as a novel, minimally invasive diagnostic technology for inspection of the GI…
A Non-Rigid Map Fusion-Based RGB-Depth SLAM Method for Endoscopic Capsule Robots
Mehmet Turan, Yasin Almalioglu, Helder Araujo +2
In the gastrointestinal (GI) tract endoscopy field, ingestible wireless capsule endoscopy is considered as a minimally invasive novel diagnostic technology to inspect the entire GI…
Magnetic-Visual Sensor Fusion based Medical SLAM for Endoscopic Capsule Robot
Mehmet Turan, Yasin Almalioglu, Hunter Gilbert +3
A reliable, real-time simultaneous localization and mapping (SLAM) method is crucial for the navigation of actively controlled capsule endoscopy robots. These robots are an emergin…
Plücker Correction Problem: Analysis and Improvements in Efficiency
João R. Cardoso, Pedro Miraldo, Helder Araujo
A given six dimensional vector represents a 3D straight line in Plucker coordinates if its coordinates satisfy the Klein quadric constraint. In many problems aiming to find the Pl…