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Palabras clave – provistas por la editorial

tracking-by-detection; multi-vehicle tracking; Siamese network; data association; Markov decision process; driving behavior; real-time monitoring; driver distraction; mobile application; portable system; simulation test; dynamic driving behavior; traffic scene augmentation; corridor model; IMU; vision; classification networks; Hough transform; lane markings detection; semantic segmentation; transfer learning; autonomous; off-road driving; tire-road forces estimation; slip angle estimation; gauge sensors; fuzzy logic system; load transfer estimation; simulation results; normalization; lateral force empirical model; driver monitor; lane departure; statistical process control; fault detection; sensor fault; signal restoration; intelligent vehicle; autonomous vehicle; kinematic model; visual SLAM; sparse direct method; photometric calibration; corner detection and filtering; loop closure detection; road friction coefficient; tire model; nonlinear observer; self-aligning torque; lateral displacement; Lyapunov method; automatic parking system (APS); end-to-end parking; reinforcement learning; parking slot tracking; deceleration planning; multi-layer perceptron; smart regenerative braking; electric vehicles; vehicle speed prediction; driver behavior modeling; electric vehicle control; driver characteristics online learning; objects’ edge detection; stixel histograms accumulate; point cloud segmentation; autonomous vehicles; scene understanding; occlusion reasoning; road detection; advanced driver assistance system; trajectory prediction; risk assessment; collision warning; connected vehicles; vehicular communications; vulnerable road users; fail-operational systems; fall-back strategy; automated driving; advanced driving assistance systems; illumination; shadow detection; shadow edge; image processing; traffic light detection; intelligent transportation system; lane-changing; merging maneuvers; game theory; decision-making; intelligent vehicles; model predictive controller; automatic train operation; softness factor; fusion velocity; online obtaining; hardware-in-the-loop simulation; driving assistant; driving diagnosis; accident risk maps; driving safety; intelligent driving; virtual test environment; millimeter wave radar; lane-change decision; risk perception; mixed traffic; minimum safe deceleration; automated driving system (ADS); sensor fusion; multi-lane detection; particle filter; self-driving car; unscented Kalman filter; vehicle model; Monte Carlo localization; millimeter-wave radar; square-root cubature Kalman filter; Sage-Husa algorithm; target tracking; stationary and moving object classification; localization; LiDAR; GNSS; Global Positioning System (GPS); monte carlo; autonomous driving; robot motion; path planning; piecewise linear approximation; multiple-target path planning; autonomous mobile robot; homotopy based path planning; LiDAR signal processing; sensor and information fusion; advanced driver assistance systems; autonomous racing; high-speed camera; real-time systems; LiDAR odometry; fail-aware; sensors; sensing; percepction; object detection and tracking; scene segmentation; vehicle positioning; fail-x systems; driver behavior modelling; automatic operation