궤적 및 시나리오 생성
kinematicTrajectory System object, waypointTrajectory System object, geoTrajectory System object를 사용하여 센서 모델을 구동하기 위한 ground-truth 궤적을 생성합니다. trackingScenario를 사용하여 3차원 환경에서 여러 플랫폼의 추적을 시뮬레이션합니다. 추적 시나리오 디자이너 앱을 사용하여 추적 시나리오를 설계하고 플랫폼과 센서를 구성하고 합성 객체 검출을 생성합니다.
함수
앱
| 추적 시나리오 플레이어 | Play tracking scenario and tracking scenario recording (R2023a 이후) |
| 추적 시나리오 디자이너 | Design tracking scenarios, configure platforms and sensors, and generate synthetic object detections |
블록
| Tracking Scenario Reader | Read tracking scenario and generate simulation data (R2021b 이후) |
| Scenario To Platform | 플랫폼 자세를 시나리오 프레임에서 플랫폼 바디 프레임으로 변환 (R2022b 이후) |
도움말 항목
- Tracking Simulation Overview
You can build a complete tracking simulation using the functions and objects supplied in this toolbox.
- Creating a Tracking Scenario
You can define a tracking simulation by using the
trackingScenarioobject. - Model Platform Motion Using Trajectory Objects
This topic introduces how to use three different trajectory objects to model platform trajectories, and how to choose between them.
- Define Trajectory Using Positions and Ground Speed
Define
waypointTrajectorywhen time-of-arrival information is not available. (R2023a 이후)
추천 예제
Introduction to Tracking Scenario and Simulating Sensor Detections
Introduces how to generate synthetic radar detections in a tracking scenario that simulates target motion and sensor detections. Specifically, this example shows:
Benchmark Trajectories for Multi-Object Tracking
Generate and visualize trajectories of multiple aircraft using trackingScenario and waypointTrajectory.
Multiplatform Radar Detection Generation
Generate radar detections from a multiplatform radar network. The network includes three long-range platforms: two airborne and one ground-based. Such synthetic data can be used to test the performance of tracking architectures for different target types and maneuvers.
샘플링된 데이터에서 필터링, 평활화, 보간을 사용하여 ground truth 궤적 복원하기
이 예제에서는 대화형 방식의 모션 모델 기반 필터를 스무더와 함께 사용하여 보간 기법을 기반으로 ground truth 궤적을 복원하는 방법을 보여줍니다.
How to Simulate Out-of-Sequence Measurements
Simulate out-of-sequence measurements (OOSMs). OOSMs occur in multisensor systems when detections from some sensors arrive at the tracker after the tracker has processed detections of the same or earlier time from other sensors. Several reasons, mostly sensor processing lag and sensor-to-tracker connection delays, can cause this problem. For more about OOSMs, see Introduction to Out-of-Sequence Measurement Handling
