Results 71 to 80 of about 154,494 (287)
FieldSAFE: Dataset for Obstacle Detection in Agriculture
, 2017 In this paper, we present a novel multi-modal dataset for obstacle detection in agriculture. The dataset comprises approximately 2 hours of raw sensor data from a tractor-mounted sensor system in a grass mowing scenario in Denmark, October 2016.
Christiansen, Peter +7 more
core +2 more sources
Shadow‐Calibrated Stereo Vision for Colorimetric Sweat Analysis
Advanced Science, EarlyView.By establishing a mathematical model that reconstructs 3D structures through geometric features of object shadows under controlled illumination, and combining it with Convolutional Neural Network‐based 2D image analysis for volumetric calibration, this work enables highly accurate 3D morphological reconstruction.
Ting Xiao +7 more
wiley +1 more source
Optimal combination of stereo camera calibration from arbitrary stereo images [PDF]
Image and Vision Computing, 1990 Abstract Many stereo correspondence algorithms require relative camera geometry, as the epipolar constraint is fundamental to their matching processes. We intend to build a eye/head camera rig to mount on the mobile platform COMODE to enhance the abilities of the TINA system to recover 3D geometry from its environment.
N. A. Thacker, J. E. W. Mayhew
openaire +1 more source
Field-sequential stereo television [PDF]
, 1974 System includes viewing devices that provide low interference to normal vision. It provides stereo display observable from broader area. Left and right video cameras are focused on object.
Perry, W. E.
core +1 more source
Advanced Intelligent Discovery, EarlyView.This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Illumination and camera invariant stereo matching [PDF]
2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008 Color information can be used as a basic and crucial cue for finding correspondence in a stereo matching algorithm. In a real scene, however, image colors are affected by various geometric and radiometric factors. For this reason, the raw color recorded by a camera is not a reliable cue, and the color consistency assumption is no longer valid between ...
null Yong Seok Heo +2 more
openaire +1 more source
Depth Image Processing for Obstacle Avoidance of an Autonomous VTOL UAV [PDF]
, 2006 We describe a new approach for stereo-based obstacle avoidance. This method analyzes the images of a stereo camera in realtime and searches for a safe target point that can be reached without collision.
Andert, Franz +2 more
core
Advanced Intelligent Systems, EarlyView.Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
A multi-camera dataset for depth estimation in an indoor scenario
Data in Brief, 2019 Time-of-Flight (ToF) sensors and stereo vision systems are two of the most diffused depth acquisition devices for commercial and industrial applications. They share complementary strengths and weaknesses. For this reason, the combination of data acquired
Giulio Marin +3 more
doaj +1 more source
Capturing Panoramic Depth Images with a Single Standard Camera [PDF]
, 2001 In this paper we present a panoramic depth imaging system. The system is mosaic-based which means that we use a single rotating camera and assemble the captured images in a mosaic. Due to a setoff of the camera’s optical center from the rotational center
Peer, Peter, Solina, Franc
core