Machine learning-based methods on SPAD-based LiDAR Data Processing

基于 SPAD 的 LiDAR 数据处理的机器学习方法

• 批准号: 508688689
• 负责人: Professor Dr. Anton Grabmaier
• 金额: --
• 依托单位: Fachgebiet Elektronische Bauelemente und Schaltungen (EBS)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/508688689?language=en
• 关键词: Machine; learning; based; methods; SPAD

The main objective of this proposal is a self-adapted LiDAR (LightDetection and Ranging) system that provides comprehensive realtimeenvironment evaluation and robust measurements underchanging environments using Machine Learning methods. Theproposed system includes the LiDAR sensor front-end for dataacquisition and the Machine Learning-based light-weight dataprocessing approach for condition monitoring and distance inference.The complete system must also be implementable in an embeddedsystem without imposing additional resources and time for datatransmission.

该提案的主要目的是一种自我适应的LIDAR（LightDetection和Ranging）系统，该系统提供了使用机器学习方法进行全面的实时环境评估和稳健的测量。该系统包括用于DataAcquidition的LIDAR传感器前端，以及用于条件监视和距离推理的基于机器学习的轻重量数据处理方法。完整的系统还必须在嵌入式系统中实现，而无需添加额外资源和时间的时间。