Sensor degradation poses a critical yet often overlooked challenge in accurately predicting the remaining useful life (RUL) ...

Dr. Veronika Wright, a globally recognized consultant in automotive electrification, provides an overview of automotive BMS and how emerging AI technologies can improve state ...

Automotive sensors are key to enhancing vehicle safety and operational efficiency. Read on to find out how this technology ...

Hence, this article suggests employing the Maximum Likelihood Kalman Filtering (MLKF) algorithm for multi-platform bearing-only target tracking. This approach first obtains the Maximum Likelihood ...

To mitigate this issue, a dual-robust-kernel Kalman filter is proposed ... The UUV experiments validate the proposed algorithm by benchmarking it against several representative methods.

The Gaussian sum cubature Kalman filter (GSCKF) based on Gaussian mixture model ... GMM displacement parameter on the fitting accuracy of non-Gaussian noise, a novel algorithm for GMM displacement ...

Jumping between quantum states and card predictions, Flickerfuse's revolutionary blackjack system harnesses nanosecond ...

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

Does your YouTube algorithm feel kind of…stuck? I know I’ve been there—getting recommendations about things I’m trying to think less about. It’s too easy to click, which in turn teaches ...