Results 21 to 30 of about 71,089 (215)
Monocular 3D Object Detection Based on Height-Depth Constraint and Edge Fusion [PDF]
Jisuanji kexueMonocular 3D object detection aims to complete 3D object detection using monocular images,and most existing monocular 3D object detection algorithms are based on classical 2D object detection algorithms.To address the issue of inaccurate instance depth ...
PU Bin, LIANG Zhengyou, SUN Yu
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Multi-View Fusion-Based 3D Object Detection for Robot Indoor Scene Perception
Sensors, 2019 To autonomously move and operate objects in cluttered indoor environments, a service robot requires the ability of 3D scene perception. Though 3D object detection can provide an object-level environmental description to fill this gap, a robot always ...
Li Wang +7 more
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Pseudo-LiDAR With Two-Dimensional Instance for Monocular Three-Dimensional Object Tracking
IEEE AccessEstablishing a framework capable of performing 3D object tracking is crucial for various applications, such as autonomous driving and robot navigation. Monocular cameras offer economic and flexible advantages over LiDAR sensors; however, monocular camera-
Rui Gao +3 more
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Research Progress of Image 3D Object Detection in Autonomous Driving Scenario [PDF]
Jisuanji kexue2D object detection techniques have significant limitations when applied to automatic driving scenarios due to the absence of description of the size,depth and other information of the physical environment.Numerous researchers have made extensive ...
ZHOU Yan, XU Yewen, PU Lei, XU Xuemiao, LIU Xiangyu, ZHOU Yuexia
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Automatic Pseudo-LiDAR Annotation: Generation of Training Data for 3D Object Detection Networks
IEEE AccessObject detection in 3D is a key ingredient of various autonomous systems. Many 3D object detection methods rely on LiDAR, as it is robust to illumination conditions and provides accurate distance measurements.
Changsuk Oh +5 more
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3D object detection using improved PointRCNN
Cognitive Robotics, 2022 Recently, two-dimensional object detection (2D object detection) has been introduced in numerous applications such as building exterior diagnosis, crime prevention and surveillance, and medical fields.
Kazuki Fukitani +6 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack +39 more
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3D Object Detection Algorithm for Panoramic Images With Multi-Scale Convolutional Neural Network
IEEE Access, 2019 This paper addresses the challenge of 3D object detection from a single panoramic image under severe deformation. The advent of the two-stage approach has impelled significant progress in 3D object detection.
Dianwei Wang +6 more
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A Two-Stage Pillar Feature-Encoding Network for Pillar-Based 3D Object Detection
World Electric Vehicle Journal, 2023 Three-dimensional object detection plays a vital role in the field of environment perception in autonomous driving, and its results are crucial for the subsequent processes. Pillar-based 3D object detection is a method to detect objects in 3D by dividing
Hao Xu +4 more
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Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
FEBS Letters, EarlyView.Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source