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Palabras clave – provistas por la editorial

clustering; data fusion; target detection; Grey Wolf Optimizer; Fireworks Algorithm; hybrid algorithm; exploitation and exploration; GNSS; MIMU; odometer; state constraints; simultaneous localization and mapping (SLAM); range-only SLAM; sum of Gaussian (SoG) filter; cooperative approach; automatic fare collection system; passenger flow forecasting; time series decomposition; singular spectrum analysis; ensemble learning; extreme learning machine; wheeled mobile robot; path panning; laser simulator; fuzzy logic; laser range finder; Wi-Fi camera; sensor fusion; local map; odometry; deep learning; softmax; decision-making; classification; sensor data; Internet of Things; extended target tracking; gamma-Gaussian-inverse Wishart; Poisson multi-Bernoulli mixture; 5G IoT; indoor positioning; tracking; localization; navigation; positioning accuracy; single access point positioning; fuzzy inference; calibration; car-following; Takagi–Sugeno; Kalman filter; microscopic traffic model; continuous-time model; LoRa; positioning; LoRaWAN; TDoA; map matching; compass; automotive LFMCW radar; radial velocity; lateral velocity; Doppler-frequency estimation; waveform; signal model; tensor modeling; smart community system; power efficiency; object-detection coprocessor; histogram of oriented gradient; support vector machine; block-level once sliding detection window; multi-shape detection-window