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LECalib: Line-based event camera calibration
Measurement: Journal of the International Measurement ConfederationCamera calibration is an essential prerequisite for event-based vision applications. Current event camera calibration methods typically involve using flashing patterns, reconstructing intensity images, and utilizing the features extracted from events ...
Zhenbao Yu, Yang Shang, Banglei Guan
exaly +2 more sources
Digital adaptive optics for event-based cameras
Laser Communication and Propagation through the Atmosphere and Oceans XIVDigital adaptive optics (DAO) is a self-referencing homodyne interferometry technique for mitigating atmospheric turbulence in passive imaging systems.
Esther Grossman +4 more
semanticscholar +2 more sources
Raytheon event-based camera technology
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXVIJ. Devitt
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Object Tracking with a Fusion of Event-Based Camera and Frame-Based Camera
, 2022 International audienceThe framed-based camera is commonly used for object tracking tasks. However, under poor light conditions, the frame camera cannot work properly and provide stable detection for the tracking system.
Haixin Sun, Vincent Frémont
core +3 more sources
Enhancing 3-D LiDAR Point Clouds With Event-Based Camera
IEEE Transactions on Instrumentation and Measurement, 2021Point clouds from 3-D light detection and ranging (LiDAR) are useful for roadside units (RSU) applications in intelligent transportation system (ITS).
Boyang Li +6 more
semanticscholar +1 more source
Representing motion information from event-based cameras
2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2017Many recent works have successfully leveraged motion information (i.e., dense optical flow) for a variety of problems. In this paper, we introduce a methodology to capture motion information using high-speed event-based cameras combined with convolutional neural networks (CNN).
Keith Sullivan, Wallace Lawson
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Bayes classification for asynchronous event-based cameras
2015 23rd European Signal Processing Conference (EUSIPCO), 2015Asynchronous event-based cameras use time encoding to code the pixel intensity values. A time encoding of an input pattern generates a random stream of asynchronous events. An event is defined as a pair containing a timestamp and the variation sign of the input signal since the last emitted event.
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Towards Event-Based State Estimation for Neuromorphic Event Cameras
IEEE Transactions on Automatic Control, 2022In this work, a dynamic information extraction problem for neuromorphic event cameras is investigated from a state estimation perspective. The ego-motion pose estimation task of an event camera is formulated as a state estimation problem for a finite-state hidden Markov model subject to a special event-triggering mechanism.
Xinhui Liu +3 more
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Spatio-Temporal Fusion Spiking Neural Network for Frame-Based and Event-Based Camera Sensor Fusion
IEEE Transactions on Emerging Topics in Computational IntelligenceTraditional frame-based cameras capture high-resolution images at specific sampling rates while suffering from motion blur and uneven exposure. Emerging event-based cameras can address these issues with event-driven sampling, but fail to capture texture ...
G. Qiao +7 more
semanticscholar +1 more source
Visual Tracking Using Neuromorphic Asynchronous Event-Based Cameras
Neural Computation, 2015This letter presents a novel computationally efficient and robust pattern tracking method based on a time-encoded, frame-free visual data. Recent interdisciplinary developments, combining inputs from engineering and biology, have yielded a novel type of camera that encodes visual information into a continuous stream of asynchronous, temporal events ...
Zhenjiang Ni +4 more
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