Uncertainty Propagation For Vehicle Detections In Experimentally Validated Radar Model For Automotive Application
2019 24TH INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR)(2019)
摘要
The paper is devoted to the development and experimental validation of a radar model elaborated for an automotive application. The described numerical model takes into account the physical properties of a typical automotive radar, the environmental conditions as well as the properties of targeted objects. Moreover, a dedicated, very efficient algorithm of geometric transformations implemented in the radar model for simulation of wave scattering phenomena is presented. A phenomenological model of uncertainty is enclosed to the algorithm to represent more effectively radar detections. The solution presented by the authors is thus ready to be used in hardware-in-the-loop simulations of various road traffic scenarios.
更多查看译文
关键词
radar model, uncertainty, experimental validation, vehicle detection, automotive application
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要