Results 101 to 110 of about 134,790 (308)

Construction and testing of a Scanning Laser Radar (SLR), phase 2 [PDF]

The scanning laser radar overall system is described. Block diagrams and photographs of the hardware are included with the system description. Detailed descriptions of all the subsystems that make up the scanning laser radar system are included.
Coombes, H. D., Flom, T.
core   +1 more source

RadarSLAM: Radar based Large-Scale SLAM in All Weathers

, 2020
Numerous Simultaneous Localization and Mapping (SLAM) algorithms have been presented in last decade using different sensor modalities. However, robust SLAM in extreme weather conditions is still an open research problem.
Hong, Ziyang, Petillot, Yvan, Wang, Sen
core   +1 more source

Object Tracking and Identification by Quantum Radar

, 2019
Quantum Radar is a promising technology that could have a strong impact on the civilian and military realms. In this study we introduce a new concept design for implementing a Quantum Radar, based on the time and polarization correlations of the entangled photons for detection and identification and tracking of high-speed targets. The design is focused
Durak, Kadir, Jam, Naser, Dindar, Cagri
openaire   +3 more sources

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Multi-Radar Bias Estimation Without a Priori Association

IEEE Access, 2018
A solution for multi-radar bias estimation without a priori association is provided for a decentralized multi-radar tracking system. We describe the systematic bias of radar with random finite sets by a pseudo-measurement of bias, which is derived at the
Tao Zhang, Hai Li, Lei Yang, Weijian Liu, Renbiao Wu   +4 more
doaj   +1 more source

Harmonic radar tracking reveals that honeybee drones navigate between multiple aerial leks. [PDF]

iScience, 2021
Woodgate JL, Makinson JC, Rossi N, Lim KS, Reynolds AM, Rawlings CJ, Chittka L.   +6 more
europepmc   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Enhancing radar tracking accuracy using combined Hilbert transform and proximal gradient methods

Results in Engineering
Accurate radar tracking is crucial in defense, navigation, and surveillance applications, where high precision and resilience to noise are essential. Traditional radar tracking techniques, such as Kalman Filters and Particle Filters, often struggle with ...
Ayesha Jabbar, Muhammad Kashif Jabbar, Asif Jabbar, Ahmed S. Almasoud, Faijan Akhtar, Maryam Zulfiqar, Tariq Mahmood, Amjad Rehman   +7 more
doaj   +1 more source

Intent Inference and Syntactic Tracking with GMTI Measurements

, 2011
In conventional target tracking systems, human operators use the estimated target tracks to make higher level inference of the target behaviour/intent. This paper develops syntactic filtering algorithms that assist human operators by extracting spatial ...
Balaji, Bhashyam, Krishnamurthy, Vikram, Wang, Alex   +2 more
core   +1 more source

MusicSwarm: Biologically Inspired Intelligence for Music Composition

Advanced Intelligent Systems, EarlyView.
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley   +1 more source