In this paper, a novel Frequency Modulated Continuous Wave (FMCW) radar-based occupancy detection utilizing Convolutional Neural Networks (CNN) is introduced.
... Novel Radar based In-Vehicle Occupant. Detection Using Convolutional Neural Networks. in H Ishibuchi, C-K Kwoh, A-H Tan,. D Srinivasan, C Miao, A Trivedi & K ...
Novel Radar based In-Vehicle Occupant Detection Using Convolutional Neural Networks ... Based on mmWave Radar Using Deep Convolutional Neural Network.
An approach for automatic detection and localization of drivers and passengers in automobiles using in-cabin images using the convolutional neural network ...
Apr 19, 2021 · This paper describes an approach for automatic detection and localization of drivers and passengers in automobiles using in-cabin images.
Increasing of Thermal Images Resolution Using Deep Learning Neural Networks ... The article presents a new algorithm for increasing the resolution of thermal ...
May 23, 2024 · In this experiment, the input for the Faster R-CNN neural network is a millimeter-wave radar range–azimuth heatmap. Compared to the traditional ...
In this paper, a novel Frequency Modulated Continuous Wave (FMCW) radar-based occupancy detection utilizing Convolutional Neural ...
A curated list of radar datasets, detection, tracking and fusion - ZHOUYI1023/awesome-radar-perception.
While there are numerous approaches covering object detection in im- ages or LiDAR point clouds, this paper addresses the problem of object detection in radar ...