Results 11 to 20 of about 21,157 (187)

MonoGRNet: A General Framework for Monocular 3D Object Detection [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Qin, Zengyi, Wang, Jinglu, Lu, Yan
openaire   +5 more sources

Shape-Aware Monocular 3D Object Detection

open access: yesIEEE Transactions on Intelligent Transportation Systems, 2023
The detection of 3D objects through a single perspective camera is a challenging issue. The anchor-free and keypoint-based models receive increasing attention recently due to their effectiveness and simplicity. However, most of these methods are vulnerable to occluded and truncated objects.
Wei Chen   +3 more
openaire   +4 more sources

SGM3D: Stereo Guided Monocular 3D Object Detection

open access: yesIEEE Robotics and Automation Letters, 2022
8 pages, 5 ...
Zheyuan Zhou   +7 more
openaire   +4 more sources

Real-time measurement of spatial distance to external breakage hazards of transmission pole tower based on monocular vision. [PDF]

open access: yesPLoS ONE
As the global economy continues to expand and energy demand increases, the size of power transmission networks continues to grow, making the safety monitoring of transmission towers increasingly important. To address the accuracy deficiencies of existing
Ruchao Liao   +5 more
doaj   +2 more sources

Aerial Monocular 3D Object Detection

open access: yesIEEE Robotics and Automation Letters, 2023
8 pages, 8 ...
Yue Hu   +3 more
openaire   +2 more sources

Objects are Different: Flexible Monocular 3D Object Detection [PDF]

open access: yes2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
The precise localization of 3D objects from a single image without depth information is a highly challenging problem. Most existing methods adopt the same approach for all objects regardless of their diverse distributions, leading to limited performance for truncated objects.
Zhang, Yunpeng, Lu, Jiwen, Zhou, Jie
openaire   +2 more sources

Kinematic 3D Object Detection in Monocular Video [PDF]

open access: yes, 2020
Perceiving the physical world in 3D is fundamental for self-driving applications. Although temporal motion is an invaluable resource to human vision for detection, tracking, and depth perception, such features have not been thoroughly utilized in modern 3D object detectors.
Brazil, Garrick   +3 more
openaire   +4 more sources

Monocular 3D object detection with Pseudo-LiDAR confidence sampling and hierarchical geometric feature extraction in 6G network

open access: yesDigital Communications and Networks, 2023
The high bandwidth and low latency of 6G network technology enable the successful application of monocular 3D object detection on vehicle platforms. Monocular 3D-object-detection-based Pseudo-LiDAR is a low-cost, low-power solution compared to LiDAR ...
Jianlong Zhang   +5 more
doaj   +1 more source

Disentangling Monocular 3D Object Detection [PDF]

open access: yes2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
In this paper we propose an approach for monocular 3D object detection from a single RGB image, which leverages a novel disentangling transformation for 2D and 3D detection losses and a novel, self-supervised confidence score for 3D bounding boxes. Our proposed loss disentanglement has the twofold advantage of simplifying the training dynamics in the ...
Simonelli A.   +4 more
openaire   +3 more sources

Research Progress on 3D Object Detection of LiDAR Point Cloud [PDF]

open access: yesJisuanji kexue yu tansuo, 2022
3D object detection is a new research direction in recent years, and its main task is the location and recognization of targets in space. The existing methods for 3D object detection using monocular or binocular stereo vision are easily affected by ...
ZHOU Yan, PU Lei, LIN Liangxi, LIU Xiangyu, ZENG Fanzhi, ZHOU Yuexia
doaj   +1 more source

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