Results 71 to 80 of about 451,138 (246)
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets [PDF]
arXiv, 2020 Research on localization and perception for Autonomous Driving is mainly focused on camera and LiDAR datasets, rarely on radar data. Manually labeling sparse radar point clouds is challenging. For a dataset generation, we propose the cross sensor Radar Artifact Labeling Framework (RALF).
arxiv
Evaluation of aircraft microwave data for locating zones for well stimulation and enhanced gas recovery [PDF]
Imaging radar was evaluated as an adjunct to conventional petroleum exploration techniques, especially linear mapping. Linear features were mapped from several remote sensor data sources including stereo photography, enhanced LANDSAT imagery, SLAR radar ...
Babcock, R. +7 more
core +1 more source
AIP AdvancesA frequency and beam reconfigurable antenna based on encoded reflectors for Wi-Fi and IoT applications is proposed in this paper. By modifying the traditional Alford antenna, extending the transmission line, adding radiation arms, and loading PIN diodes,
Ziyi Jiao, Yutong Zhao
doaj +1 more source
Impact of Radar and Communication Coexistence on Radar's Detectable Target Parameters [PDF]
arXiv, 2014 In this paper, we present our spectrum sharing algorithm between a multi-input multi-output (MIMO) radar and Long Term Evolution (LTE) cellular system with multiple base stations (BS)s. We analyze the performance of MIMO radars in detecting the angle of arrival, propagation delay and Doppler angular frequency by projecting orthogonal waveforms onto the
arxiv
Radar Target Detection with CNN
2021 29th European Signal Processing Conference (EUSIPCO), 2021 Target detection is a fundamental radar application that is traditionally carried out by Constant False Alarm Rate (CFAR) detectors. This paper proposes a Convolutional Neural Network (CNN) based detector (RadCNN) to replace the standard CFAR detectors for a typical pulsed Doppler radar.
openaire +2 more sources
On a solution to improve the object detection ability of radars by dynamic polarization method
ASEAN Journal on Science and Technology for Development, 2017 One of the most importan problems of modern radar is increasing object detection, object distinction ability. In the last years, the used traditional radar signal processing methods are seem to use up.
Nguyen Quoc An
doaj +1 more source
Taming and Leveraging Interference in Mobile Radar Networks [PDF]
arXiv, 2020 Mobile radar networks, such as autonomous driving systems, are subject to the severe challenge of mutual interference. Despite the inborn interference-proof capability in frequency modulation continuous waveform (FMCW) radar, interference management is necessary for dense radar networks.
arxiv
Detection and tracking for radar simulation using MATLAB [PDF]
, 2012 The objective of the project is to simulate the real time Radar detection and tracking operations using MATLAB software. Radar system use modulated waveforms and directive antennas to transmit electromagnetic energy into a specific volume in space to
Almarghani, Khaled Ali. O.
core
Impact analysis of DRFM-based active jamming to radar detection efficiency
The Journal of Engineering, 2019 The influence of DRFM active jamming technology on pulse compression coherent radar is studied here. By establishing radar signal detection model and introducing radar equation, the influence of signal produced by DRFM on the detection performance of ...
Wei Liu, Jin Meng, Liang Zhou
doaj +1 more source
Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles [PDF]
arXiv, 2020 In this paper we present a novel radar-camera sensor fusion framework for accurate object detection and distance estimation in autonomous driving scenarios. The proposed architecture uses a middle-fusion approach to fuse the radar point clouds and RGB images.
arxiv