in this paper a new algorithm is presented for coherent radar detection of targets, when distribution of the interference (clutter and noise) is non-gaussian. the neyman-pearson criterion is used for optimal detection and several successive received samples from a radar range cell are used for detection in the same cell. on the basis of recent empirical evidences, the interference distribution ...

introduction. regarding the role of research in developing and improving a better culture, society and economics, 95% to 97% world finance in research belongs to developed countries while only 3%-5% to developing countries. although the universities as the major organizations are to do research works, it seems that there are some problems to bring this true. we tried to find out if a load of te...

This paper presents a redundant multi-object detection method for autonomous driving, exploiting combination of Light Detection and Ranging (LiDAR) stereocamera sensors to detect different obstacles. These are used distinct perception pipelines considering custom hardware/software architecture deployed on self-driving electric racing vehicle. Consequently, the creation local map with respect ve...

Avoiding obstacles is challenging for autonomous robotic systems. In this work, we examine obstacle avoidance legged hexapods, as it relates to climbing over randomly placed wooden joists. We formulate the task a 3D joist detection problem and propose detect-plan-act pipeline using SLAM algorithm generate pointcloud grid map expose high such A line detector applied on extract parametric informa...

The advent of high-speed atomic force microscopy has revolutionized the field biological science. However, there remains a myriad phenomena that cannot be observed due to their near-instantaneous dynamics. Improving temporal resolution is first step toward observing these biofunctional So far, narrow bandwidth amplitude detector circuit been major obstacle this objective. Here, we invent differ...

In the last decade, Light Detection and Ranging (LIDAR) became a leading technology of detailed reliable 3D environment perception. This paper gives an overview wide applicability LIDAR sensors from perspective signal processing for autonomous driving, including dynamic static scene analysis, mapping, situation awareness which functions significantly point beyond role safe obstacle detector, wa...

The Lobula Giant Movement Detector (LGMD) is a an identified neuron of the locust that detects looming objects and triggers its escape responses. Understanding the neural principles and networks that lead to these fast and robust responses can lead to the design of efficient facilitate obstacle avoidance strategies in robotic applications. Here we present a neuromorphic spiking neural network m...

Un ultimo ringraziamento va a Lui, non si gioca a dadi qui, c'` e il Suo sogno per ognuno di noi, a noi non resta che viverlo.