The article explains how the Kalman filter fuses noisy sensor measurements with model predictions using Bayesian updates, demonstrates the process with intuitive 1‑D and 2‑D Python examples, and shows its real‑world applications such as navigation, autonomous driving, and signal processing.
JD Retail’s Technology and Data Center announced that two of its papers were accepted at ICRA 2021: one presenting a deep balanced learning approach for long‑tailed facial expression recognition, and the other introducing a vanishing‑point‑aided LiDAR‑visual‑inertial estimator for robust state estimation.
The paper introduces the Answer‑Driven Visual State Estimator (ADVSE), which uses answer‑driven focusing attention and conditional visual information fusion to dynamically incorporate answers into visual dialogue, overcoming static encoding limitations and achieving state‑of‑the‑art performance on the GuessWhat?! question‑generation and guessing tasks.
