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   Articles with "monocular object" as a keyword



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Monocular 3D object detection using dual quadric for autonomous driving

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recommendations! Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2021.01.110

Abstract: Abstract 3D object detection is an essential component of scene perception and motion prediction in autonomous driving. Previous methods represent objects as the truncated signed distance fields (3D bounding box), which can only provide the… read more here.

Keywords: object detection; using dual; detection; monocular object ... See more keywords

Optimization-Based Monocular 3D Object Tracking via Combined Ellipsoid-Cuboid Representation

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3438162

Abstract: Monocular 3D object tracking is a challenging task because monocular image lacks depth information necessary for 3D scene understanding. Modern methods typically rely on deep learning to reconstruct 3D information from learned prior, which demands… read more here.

Keywords: representation; ellipsoid cuboid; object tracking; combined ellipsoid ... See more keywords

2D Instance-Guided Pseudo-LiDAR Point Cloud for Monocular 3D Object Detection

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3514673

Abstract: Monocular three-dimensional (3D) scene understanding tasks, e.g., object size angle and 3D position, estimation are challenging to perform. More successful current methods usually require data from 3D sensors, which limits their performance if only monocular… read more here.

Keywords: detection; object detection; point; pseudo lidar ... See more keywords

MonoDFM: Density Field Modeling-Based End-to-End Monocular 3D Object Detection

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3563248

Abstract: Monocular 3D object detection aims to infer the 3D properties of objects from a single RGB image. Existing methods primarily rely on planar features to estimate 3D information directly. However, the limited 3D information available… read more here.

Keywords: detection; object detection; density field; monocular object ... See more keywords

Monocular 3-D Object Detection Based on Depth-Guided Local Convolution for Smart Payment in D2D Systems

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recommendations! Published in 2023 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2021.3128440

Abstract: 3-D object detection from mobile phones in Device-to-Device (D2D) system provides a new smart payment tool for the next generation of fintech, which is more flexible and efficient than the traditional barcode. In this article,… read more here.

Keywords: depth; monocular object; smart payment; detection ... See more keywords

OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2023.3238137

Abstract: Monocular 3D object detection has recently made a significant leap forward thanks to the use of pre-trained depth estimators for pseudo-LiDAR recovery. Yet, such two-stage methods typically suffer from overfitting and are incapable of explicitly… read more here.

Keywords: monocular object; stream; geometry; detection ... See more keywords

Depth-Vision-Decoupled Transformer With Cascaded Group Convolutional Attention for Monocular 3-D Object Detection

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recommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2024.3472783

Abstract: Monocular 3-D object detection is a challenging and important task in autonomous driving. In 3-D object detection, depth information are crucial for determining the position, size, and posture of objects. However, in the 2-D images… read more here.

Keywords: detection; depth vision; object detection; attention ... See more keywords

Fine-Grained Multilevel Fusion for Anti-Occlusion Monocular 3D Object Detection

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recommendations! Published in 2022 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2022.3180210

Abstract: We propose a deep fine-grained multi-level fusion architecture for monocular 3D object detection, with an additionally designed anti-occlusion optimization process. Conventional monocular 3D object detection methods usually leverage geometry constraints such as keypoints, object shape… read more here.

Keywords: fusion; occlusion; monocular object; object detection ... See more keywords

Stereoscopic Vision Recalling Memory for Monocular 3D Object Detection

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recommendations! Published in 2023 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2023.3274479

Abstract: Monocular 3D object detection has drawn increasing attention in various human-related applications, such as autonomous vehicles, due to its cost-effective property. On the other hand, a monocular image alone inherently contains insufficient information to infer… read more here.

Keywords: information; object detection; monocular object; memory ... See more keywords

One Stage Monocular 3D Object Detection Utilizing Discrete Depth and Orientation Representation

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recommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3175198

Abstract: On-road object detection is a critical component in an autonomous driving system. The safety of the vehicle can only be as good as the reliability of the on-road object detection system. Thus, developing a fast… read more here.

Keywords: orientation representation; monocular object; depth orientation; detection ... See more keywords

Monocular 3D Object Detection Utilizing Auxiliary Learning With Deformable Convolution

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recommendations! Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2023.3319556

Abstract: In autonomous driving systems, the monocular 3D object detection algorithm is a crucial component. The safety of autonomous vehicles heavily depends on a well-designed detection system. Therefore, developing a robust and efficient 3D object detection… read more here.

Keywords: detection; auxiliary learning; object detection; detection utilizing ... See more keywords