YOLO-Based Simultaneous Target Detection and Classification in Automotive FMCW Radar Systems
نویسندگان
چکیده
منابع مشابه
FMCW MMW Radar for Automotive Longitudinal Control
The contents of this report reflect the views of the authors who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the State of California. This report does not constitute a standard, specification, or regulation. CALIFORNIA PATH PROGRAM INSTITUTE OF TRANSPORTATION STUDIES UNIVERSITY OF CALIFORN...
متن کاملGeneral Linear Chirplet Transform and Radar Target Classification
In this paper, we design an attractivealgorithm aiming to classify moving targets includinghuman, animal, vehicle and drone, at groundsurveillance radar systems. The non-stationary reflectedsignal of the targets is represented with a novelmathematical framework based on behavior of thesignal components in reality. We further propose usingthe generalized linear chirp transform for the analysisst...
متن کاملHigh-Resolution Angle Estimation for an Automotive FMCW Radar Sensor
This paper introduces the application of high-resolution angle estimation algorithms for a 77GHz automotive long range radar sensor. Highresolution direction of arrival (DOA) estimation is important for future safety systems. Using FMCW principle, major challenges discussed in this paper are small number of snapshots, correlation of the signals, and antenna mismatches. Simulation results allow ...
متن کاملFmcw Based Mimo Imaging Radar
There are a number of potential applications for low cost short range phased array radar sensors: ship bumpers, large vehicle sensors and level crossing obstacle detection for example. Phased arrays have the benefit of reduced size and the elimination of moving parts compared with more traditional rotating antenna systems. Another potential benefit is that the image update rate can be orders of...
متن کاملSimulation-Based Radar Detection Methods
In this paper, radar detection based on Monte Carlo sampling is studied. Two detectors based on Importance Sampling are presented. In these detectors, called Particle Detector, the approximated likelihood ratio is calculated by Monte Carlo sampling. In the first detector, the unknown parameters are first estimated and are substituted in the likelihood ratio (like the GLRT method). In the sec...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sensors
سال: 2020
ISSN: 1424-8220
DOI: 10.3390/s20102897