Results 81 to 90 of about 21,157 (187)
Densely Constrained Depth Estimator for Monocular 3D Object Detection
, 2022 Estimating accurate 3D locations of objects from monocular images is a challenging problem because of lacking depth. Previous work shows that utilizing the object's keypoint projection constraints to estimate multiple depth candidates boosts the detection performance.
Li, Yingyan +3 more
openaire +2 more sources
CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng +5 more
wiley +1 more source
RGBDTAM: A Cost-Effective and Accurate RGB-D Tracking and Mapping System
, 2017 Simultaneous Localization and Mapping using RGB-D cameras has been a fertile research topic in the latest decade, due to the suitability of such sensors for indoor robotics.
Civera, Javier, Concha, Alejo
core +1 more source
Meteoritics &Planetary Science, EarlyView.Abstract The majority of planetary impacts occur at oblique angles. Impact structures on Earth are commonly eroded or buried, rendering the identification of the direction and angle of impact—using methods such as asymmetries in ejecta distribution, surface topographic expression, central uplift structure, and geophysical anomalies—challenging. In this
Eloise E. Matthews +5 more
wiley +1 more source
Generalizing Monocular 3D Object Detection
Monocular 3D object detection (Mono3D) is a fundamental computer vision task that estimates an object's class, 3D position, dimensions, and orientation from a single image. Its applications, including autonomous driving, augmented reality, and robotics, critically rely on accurate 3D environmental understanding.
openaire +3 more sources
A Novel Abandoned Object Detection System Based on Three-Dimensional Image Information
Sensors, 2015 A new idea of an abandoned object detection system for road traffic surveillance systems based on three-dimensional image information is proposed in this paper to prevent traffic accidents.
Yiliang Zeng +4 more
doaj +1 more source
An End-to-End Deep Learning Network for 3D Object Detection From RGB-D Data Based on Hough Voting
IEEE Access, 2020 Existing outdoor three-dimensional (3D) object detection algorithms mainly use a single type of sensor, for example, only using a monocular camera or radar point cloud. However, camera sensors are affected by light and lose depth information.
Ming Yan +3 more
doaj +1 more source
Monocular 3D object detection via Mask‐Revised Network and quality perception loss
IET Computer Vision, 2023 The accuracy of the monocular 3D detection tasks based on the Pseudo‐LiDAR method is improved greatly. However, the depth map obtained by depth estimation contains a lot of noise, which limits the detection accuracy. To address this problem, an efficient
Fengsui Wang +3 more
doaj +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
IEEE AccessMonocular 3D object detection remains a critical yet challenging task in autonomous driving due to depth ambiguities and occlusions inherent in single RGB images.
Daewoong Cha +3 more
doaj +1 more source