Results 11 to 20 of about 143,001 (244)
EPCNet: Implementing an ‘Artificial Fovea’ for More Efficient Monitoring Using the Sensor Fusion of an Event-Based and a Frame-Based Camera [PDF]
SensorsEfficient object detection is crucial to real-time monitoring applications such as autonomous driving or security systems. Modern RGB cameras can produce high-resolution images for accurate object detection. However, increased resolution results in increased network latency and power consumption. To minimise this latency, Convolutional Neural Networks (
Orla Sealy Phelan +5 more
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A Static-to-Temporal Framework for Interpretable Camera Lens Soiling Severity Estimation in Autonomous Driving [PDF]
SensorsCamera lens soiling can severely degrade visual perception in autonomous driving, making reliable soiling severity estimation essential for camera-health monitoring and downstream perception safety.
Fan Yang +3 more
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Adaptive Buffer Capture and Storage for High-Speed Cameras
IEEE Access, 2023 The output speed of a high-resolution camera with a fast frame rate is high, reaching 800 MB/s or even more. Consequently, the abundant data recorded can easily cause data overflow during transmission and frame loss during storage.
Zhonghua Hong +9 more
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eWand: A calibration framework for wide baseline frame-based and event-based camera systems
CoRR, 2023 Accepted for 2024 IEEE International Conference on Robotics and Automation (ICRA 2024). Project web page: https://cogsys-tuebingen.github.io/ewand/
Thomas Gossard +4 more
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Binocular intelligent following robot based on YOLO-LITE [PDF]
MATEC Web of Conferences, 2021 In order to solve the problem that the deep neural network model is large in scale, the calculation time is too long, and the real-time performance is severely limited when combined with embedded devices, so studied the intelligent follower robot system ...
Zheng Yuanyuan, Ge Jun
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Fast and Accurate Pose Estimation with Unknown Focal Length Using Line Correspondences
Sensors, 2022 Estimating camera pose is one of the key steps in computer vison, photogrammetry and SLAM (Simultaneous Localization and Mapping). It is mainly calculated based on the 2D–3D correspondences of features, including 2D–3D point and line correspondences.
Kai Guo +4 more
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Moving Object Detection and Tracking by Event Frame from Neuromorphic Vision Sensors
Biomimetics, 2022 Fast movement of objects and illumination changes may lead to a negative effect on camera images for object detection and tracking. Event cameras are neuromorphic vision sensors that capture the vitality of a scene, mitigating data redundancy and latency.
Jiang Zhao +4 more
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Gong-kuang zidonghua, 2023 Early detection of mine electric sparks and alarm can prevent or reduce gas and coal dust explosions and mine fire accidents. There are no natural light sources such as sunlight, moonlight, and starlight underground.
SUN Jiping, LI Xiaowei, WANG Jianye
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Applied Sciences, 2021 The aim of the perspective-three-point (P3P) problem is to estimate extrinsic parameters of a camera from three 2D–3D point correspondences, including the orientation and position information.
Kai Guo, Hu Ye, Junhao Gu, Honglin Chen
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Single-Frame based Deep View Synchronization for Unsynchronized Multi-Camera Surveillance
CoRR, 2020 Multi-camera surveillance has been an active research topic for understanding and modeling scenes. Compared to a single camera, multi-cameras provide larger field-of-view and more object cues, and the related applications are multi-view counting, multi-view tracking, 3D pose estimation or 3D reconstruction, etc.
Qi Zhang 0041, Antoni B. Chan
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