Monocular 3D object detection using dual quadric for autonomous driving
Sign Up to like & getrecommendations! 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
Monocular 3-D Object Detection Based on Depth-Guided Local Convolution for Smart Payment in D2D Systems
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Fine-Grained Multilevel Fusion for Anti-Occlusion Monocular 3D Object Detection
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
MonoDCN: Monocular 3D object detection based on dynamic convolution
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0275438
Abstract: 3D object detection is vital in the environment perception of autonomous driving. The current monocular 3D object detection technology mainly uses RGB images and pseudo radar point clouds as input. The methods of taking RGB… read more here.
Keywords: information; dynamic convolution; monocular object; detection ... See more keywords