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자율 내비게이션

R2026a
자율 내비게이션 응용 분야에서 딥러닝 워크플로 확장

Deep Learning Toolbox™를 Navigation Toolbox™와 함께 사용하여 자율 내비게이션 응용 분야에 딥러닝을 적용합니다.

추천 예제

Train Deep Learning-Based Sampler for Motion Planning

Train Deep Learning-Based Sampler for Motion Planning

Create a deep learning-based sampler using Motion Planning Networks to speed up path planning using sampling-based planners like RRT (rapidly-exploring random tree) and RRT*. For information about Motion Planning Networks (MPNet) for state space sampling, see Get Started with Motion Planning Networks (Navigation Toolbox).

Accelerate Motion Planning with Deep-Learning-Based Sampler

Accelerate Motion Planning with Deep-Learning-Based Sampler

The example shows how to use sampling-based planners such as RRT (rapidly-exploring random tree) and RRT* with Motion Planning Networks (MPNet), deep-learning-based sampler to find optimal paths efficiently.