Results 111 to 120 of about 21,157 (187)

Monocular‐based collision avoidance system for unmanned aerial vehicle

open access: yesIET Smart Cities
Obstacle avoidance based on a monocular camera is a challenging task due to the lack of 3D information for Unmanned Aerial Vehicle. Recent methods based on Convolutional Neural Networks for monocular depth estimation and obstacle detection become widely ...
Abdulrahman Javaid   +4 more
doaj   +1 more source

Semantic Shape and Trajectory Reconstruction for Monocular Cooperative 3D Object Detection

open access: yesIEEE Access
Currently the state-of-the-art monocular 3D object detectors use machine learning to estimate the 6DOF pose and shape of vehicles. This requires large amounts of precisely annotated 3D data for the training process and significant computing power for ...
Marton Cserni, Andras Rovid
doaj   +1 more source

Enhancing 3D Monocular Object Detection with Style Transfer for Nighttime Data Augmentation

open access: yesApplied Sciences
Monocular 3D object detection (Mono3D) is essential for autonomous driving and augmented reality, yet its performance degrades significantly at night due to the scarcity of annotated nighttime data. In this paper, we investigate the use of style transfer
Alexandre Evain   +4 more
doaj   +1 more source

MonoCLUE : Object-Aware Clustering Enhances Monocular 3D Object Detection

open access: yes
Monocular 3D object detection offers a cost-effective solution for autonomous driving but suffers from ill-posed depth and limited field of view. These constraints cause a lack of geometric cues and reduced accuracy in occluded or truncated scenes. While recent approaches incorporate additional depth information to address geometric ambiguity, they ...
Yang, Sunghun   +3 more
openaire   +2 more sources

MODNet: A Monocular Object-Based Depth Estimation Network for AI Robotic Chemists. [PDF]

open access: yesPrecis Chem
Fu X   +8 more
europepmc   +1 more source

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