Results 131 to 140 of about 20,924 (314)
Frontiers in Marine ScienceUnmanned surface vehicles (USVs) offer significant value through their capability to undertake hazardous and time-consuming missions across water surfaces.
Hu Xu +7 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
Radar-based object detection and tracking in autonomous-driving: Quality control and data analysis
Autonomous driving is an advanced technology toze improve the driving safety and efficiency of transportation. Various sensors are required to support navigation, perception, and path planning.
Tan, Weiwen
core +1 more source
Concentric Rheostat Decoupled 3D Force‐Sensing Module for Smart Table Tennis Training
Advanced Intelligent Systems, EarlyView.A 3D‐printed sensor array intrinsically decouples normal and shear forces through a unique concentric structural design. By integrating piezoresistive, sliding area‐varying capacitive, and concentric rheostat mechanisms, the 12‐sensor module achieves high‐resolution 3D force mapping without complex algorithms.
Zhe Liu +7 more
wiley +1 more source
An Adaptive IMM Algorithm for a PD Radar with Improved Maneuvering Target Tracking Performance
Remote SensingA pulse-Doppler (PD) radar has the advantage of strong anti-interference ability, and it is often used as a solution for maneuvering target tracking.
Wenwen Xu +4 more
doaj +1 more source
Cost-Reference Particle Filter for Cognitive Radar Tracking Systems with Unknown Statistics. [PDF]
Sensors (Basel), 2020 Zhong L, Li Y, Cheng W, Zheng Y.
europepmc +1 more source
, 2022 S.343-348This paper investigates the characteristics of the minimum detectable velocity (MDV) in the case of bistatic transmitter and receiver configurations and its impact on the tracking of ground targets with airborne ground moving target indication ...
Kirubarajan, T., Mertens, M., Koch, W.
core
Advanced Intelligent Systems, EarlyView.A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng +4 more
wiley +1 more source
Radar nonlinear multi-target tracking method with parallel PHD filter
Scientific ReportsSince probability hypothesis density (PHD) filters do not need explicit data association, they have recently been widely used in radar multi-target tracking (MTT). However, in existing PHD filters, sampling times are generally considered the same for all
Jin Tao +5 more
doaj +1 more source
Maritime surveillance with GSM passive radar: Detection and tracking of small agile targets
, 2022 S.245-251In a previous paper we have demonstrated that GSM passive radar is well suited for maritime surveillance. In a follow-on experiment we have now extended these results to the case of tracking small, fast and maneuvering boats.
Nickel, U. +3 more
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