자동차 레이다
radarDataGenerator
를 사용하여 다중 경로 효과가 포함된 확률적 레이다 검출, 클러스터, 트랙을 생성합니다. radarTransceiver
를 사용하여 레이다 하드웨어를 모델링하고 안테나 패턴, 송신된 FMCW 파형과 전송된 MFSK 파형, 신호와 데이터 처리 체인을 지정합니다. 보행자와 자전거 운전자의 마이크로 도플러 시그니처를 시뮬레이션합니다. 레이다가 검출한 객체를 분류하도록 신경망을 훈련시킵니다(Deep Learning Toolbox™).
추천 예제
Grid-Based Tracking in Urban Environments Using Multiple Radars
Track moving objects with multiple high-resolution radars using a grid-based tracker to enable fusion of data from high-resolution sensors such as radars and lidars.
- R2024a 이후
- 라이브 스크립트 열기
Simulate an Automotive 4D Imaging MIMO Radar
Simulate a 4-D imaging MIMO radar for automotive applications using a
radarTransceiver
.
- R2023a 이후
- 라이브 스크립트 열기
Simulate and Mitigate FMCW Interference Between Automotive Radars
Simulate missed and ghost detections caused by interference between two FMCW automotive radars in a highway scenario.
- R2022b 이후
- 라이브 스크립트 열기
Design and Simulate an FMCW Long-Range Radar (LRR)
Create a radarDataGenerator
object from a radar design exported
from the Radar Designer app.
- R2022a 이후
- 라이브 스크립트 열기
Simulate Radar Ghosts Due to Multipath Return
Simulate ghost target detections and tracks due to multipath reflections with both a statistical radar model and a transceiver model that generates I/Q signals.
- R2021a 이후
- 라이브 스크립트 열기
Highway Vehicle Tracking with Multipath Radar Reflections
Demonstrate the challenges associated with tracking vehicles on a highway in the presence of multipath radar reflections.
- R2021a 이후
- 라이브 스크립트 열기
Radar Signal Simulation and Processing for Automated Driving
Model the hardware, signal processing, and propagation environment of an automotive radar.
- R2021a 이후
- 라이브 스크립트 열기
Track-to-Track Fusion for Automotive Safety Applications
Fuse tracks from two vehicles to estimate of the environment.
- R2021a 이후
- 라이브 스크립트 열기
Pedestrian and Bicyclist Classification Using Deep Learning
Classify pedestrians and bicyclists based on their micro-Doppler characteristics using deep learning and time-frequency analysis.
- R2021a 이후
- 라이브 스크립트 열기
Track-to-Track Fusion for Automotive Safety Applications in Simulink
Fuse tracks from two vehicles to estimate of the environment in Simulink®.
- R2021a 이후
- 모델 열기
Automotive Adaptive Cruise Control Using FMCW Technology
Model an automotive adaptive cruise control system using frequency modulated continuous wave techniques.
- R2021a 이후
- 라이브 스크립트 열기
Automotive Adaptive Cruise Control Using FMCW and MFSK Technology
Model an automotive radar in Simulink that includes adaptive cruise control.
- R2021a 이후
- 스크립트 열기
Increasing Angular Resolution with Virtual Arrays
Form virtual arrays in MIMO radars to increase angular resolution.
- R2021a 이후
- 라이브 스크립트 열기
Patch Antenna Array for FMCW Radar
Model a 77 GHz 2x4 antenna array for Frequency-Modulated Continuous-Wave (FMCW) radar applications.
- R2021a 이후
- 스크립트 열기
Simultaneous Range and Speed Estimation Using MFSK Waveform
Compare triangle sweep frequency-modulated continuous (FMCW) and multiple frequency-shift keying (MFSK) waveforms.
- R2021a 이후
- 라이브 스크립트 열기
Extended Target Tracking with Multipath Radar Reflections in Simulink
Model and mitigate multipath radar reflections in a highway driving scenario in Simulink similarly to the Highway Vehicle Tracking with Multipath Radar Reflections MATLAB® example.
- R2021b 이후
- 라이브 스크립트 열기
MATLAB 명령
다음 MATLAB 명령에 해당하는 링크를 클릭했습니다.
명령을 실행하려면 MATLAB 명령 창에 입력하십시오. 웹 브라우저는 MATLAB 명령을 지원하지 않습니다.
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