Scene understanding is crucial for autonomous robots in dynamic environments making future state predictions, avoiding collisions, and path planning. Camera LiDAR perception made tremendous progress recent years, but face limitations under adverse weather conditions. To leverage the full potential of multi-modal sensor suites, radar sensors are essential safety critical tasks already installed ...

This paper deals with developing tests for checking whether an unknown system has certain structural properties. The that we are aiming at in terms of noisy input–state–output data obtained from the system. Since, general, do not determine uniquely, many systems compatible same set data. Therefore cannot apply identification and existing, model based, tests. Instead, will use concept informativ...

Cement rotary kiln is the main part of cement production process that have always attracted many researchers’ attention. But this complex nonlinear system has not been modeled efficiently which can make an appropriate performance specially in noisy condition. In this paper Takagi-Sugeno neuro-fuzzy system (TSNFS) is used for identification of cement rotary kiln, and gradient descent (GD) algori...