Monocularābased collision avoidance system for unmanned aerial vehicle
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
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
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
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
TPDNet: Triple phenotype deepen networks for monocular 3D object detection of melons and fruits in fields. [PDF]
Wang Y +5 more
europepmc +1 more source
DeployFusion: A Deployable Monocular 3D Object Detection with Multi-Sensor Information Fusion in BEV for Edge Devices. [PDF]
Huang F +5 more
europepmc +1 more source
HOIMamba: Bidirectional State-Space Modeling for Monocular 3D Human-Object Interaction Reconstruction. [PDF]
Zhang J, Lin Y.
europepmc +1 more source
MODNet: A Monocular Object-Based Depth Estimation Network for AI Robotic Chemists. [PDF]
Fu X +8 more
europepmc +1 more source
Real-Time Robust 2.5D Stereo Multi-Object Tracking with Lightweight Stereo Matching Algorithm. [PDF]
Lee J, Shin J, Park E, Kim D.
europepmc +1 more source
TeaNeRF: an integrated 3D visual perception pipeline for tea bud harvesting. [PDF]
Chen W, Li X, Rao L, Xia X.
europepmc +1 more source

