Industry Information A Multisensor Data Fusion Method for Target Tracking in Unmanned
In response to the shortcomings of using a single sensor for target tracking, a data fusion method for target tracking by radar and optical tracker is proposed in this paper.
Industry Information Multi-sensor data fusion based on electro-optical tracking system
The modern electro-optical (EO) measurement and tracing system usually has different kind of EO sensors that can get measurement of the target at the same time. The traditional tracking
Industry Information Trajectory tracking control for electro-optical tracking system based
This paper investigates a trajectory tracking control scheme for electro-optical tracking systems subject to friction and other nonlinear disturbances. The proposed approach is based on a
Industry Information Photonic edge intelligence chip for multi-modal sensing
Edge devices require real-time processing of high-throughput analog signals. Here, authors present a photonic intelligence chip that fuses multiple analog signal types into optical
Industry Information Multisensor data fusion: Target tracking with a doppler radar and an
This paper addresses the problem of multisensor data fusion for target tracking using a Doppler radar with range rate measurements and an Electro-Optic (EO) camera. We present three
Industry Information Intelligent Multimodal Multi-Sensor Fusion-Based UAV Identification
By incorporating deep learning methods, the system combines radio frequency (RF) spectral feature analysis, radar detection, electro-optical identification, and other methods at the
Industry Information Multiresolution EO/IR Target Tracking and Identification
for both wide-area surveillance and precision tracking. The advent of better optics, coordinated sensor management, and fusion strategies provide an opportunity to enh ce simultaneous tracking and
Industry Information (PDF) Radar/electro-optical data fusion for non
This paper focuses on hardware/software implementation and flight results relevant to a multi-sensor obstacle detection and tracking system based
Industry Information Optimizing Controls to Track Moving Targets in an
Electro-optical detection systems face numerous challenges due to the complexity and difficulty of targeting controls for “low, slow and tiny” moving
Industry Information A Multisensor Data Fusion Method for Target Tracking in Unmanned
In this paper, a multisensor data fusion method for detecting target tracking based on radar and optical tracker is proposed. Radars can provide a wide detection range and are capable of
Industry Information A target anti-occlusion method based on image
Abstract In the electro-optical tracking system, due to the full occlusion of clouds or buildings, the traditional tracking algorithm fails to work
Industry Information Video Processing From Electro-Optical Sensors for Object Detection
We present a survey on maritime object detection and tracking approaches, which are essential for the development of a navigational system for autonomous ships. The electro-optical
Industry Information EDGE Reveals a Powerhouse Suite of Electronic
Abu Dhabi, February 18. EDGE, one of the world''s leading advanced technology and defence groups, is unveiling a next-level range of new electronic warfare (EW),
Industry Information Global Motion-Aware Robust Visual Object Tracking for
Although recently developed trackers have shown excellent performance even when tracking fast moving and shape changing objects with
Industry Information Small tracking error correction for moving targets of intelligent
KEYWORDS electro-optical detection system, small tracking error, moving target, visual servo, aiming control 1 Introduction Aerial threats pose increasing challenges to society, resulting in changes in
Industry Information UAV Swarm Centroid Tracking for Edge Computing
To begin with, we introduce the scenario of UAV swarm-based edge computing and centroid tracking in it. Moreover, the working principle of centroid tracking in GTT is intro-duced.
Industry Information Photonic edge intelligence chip for multi-modal sensing
Here, we present a photonic edge intelligence chip (PEIC) that fuses multiple analog modalities—images, spectra, and radio-frequency signals—into broad optical spectra for single-fiber
Industry Information FusionEO-Tracking™ | Electro-Optical Tracking System for Long
FusionEO-Tracking™ is our advanced electro-optical tracking system designed to lock onto aerial targets with precision. This system integrates sophisticated AI-assisted recognition, multi-spectrum
Industry Information A Fusion Tracking Algorithm for Electro-Optical
This study presents a novel approach to address the autonomous stable tracking issue in electro-optical theodolite operating in closed-loop mode.
Industry Information Efficient Transformer-Based Visual Tracking for Edge Computing
In this study, we present the OneStar model, a transformer-based visual tracking solution tailored for edge computing environments. Utilizing a template-branch separable archi-tecture and a guided
Industry Information Global Motion-Aware Robust Visual Object Tracking for Electro Optical
Although recently developed trackers have shown excellent performance even when tracking fast moving and shape changing objects with variable scale and orientation, the trackers for
Industry Information An Edge Computing Algorithm for Onboard Processing of Electro
CT This paper presents techniques enabled by a real-time embedded algorithm for onboard processing of electro-optic rate-track imagery acquired by ground and space sensors. These techniques offer
Industry Information Electro-optical and infrared multi-sensor fusion based airborne target
The core contribution to artificial intelligence lies in the integration of electro-optical and infrared (EO/IR) sensors using a convolutional sparse representation-based image fusion algorithm,
Industry Information Electro-optical and infrared multi-sensor fusion based airborne target
In this paper, a unified airborne Sense and Avoid (SAA) framework is proposed, which integrates EO/IR sensors, facilitating the fusion of their outputs.