Apply the algorithm to the unlabeled dataset and calculate the distance of the object using the intersection algorithm for radar sensor. Conclusion The project presents a simple object detector using ...

This project focuses on integrating RGB camera and 3D automotive radar data to enhance road user detection and motion prediction. By leveraging advanced object detection models and data fusion ...

In this paper, we describe a strategy for training neural networks for object detection in range images obtained from one type of LiDAR sensor using labeled data from a different type of LiDAR sensor.

A good and robust sensor data fusion in diverse weather conditions is a quite challenging task. There are several fusion architectures in the literature, e.g. the sensor data can be fused right at the ...

All in one — one for all: with the new W10 photoelectric proximity sensor, SICK presents a sensor that can be used to solve a wide range of detection tasks in automation technology more universally ...

Select models are IO-Link compatible, providing continuous diagnostic information and easy remote sensor mode selection along with accurate object detection data.

In contrast to an ultrasonic sensor, an ADAS radar sensor uses electromagnetic (EM) waves to determine an object’s range, velocity, and angle in its field of view.

Two tiny ICs and a few passive components can yield a capacitive proximity sensor with excellent sensitivity and extremely fast response time. The circuit’s operation leverages the pulse-front ...