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Sensor Models for V2X Situational Awareness Learning
- ORIKUMHI, IGBAFE;
- Kim, Sunwwoo
초록
Generating real-time data for autonomous vehicle is important to evaluate the vehicular system performance.However, such data may require high cost and safety concerns. In a virtual proving ground, complex vehicularscenario can be created, and novel beam selection and beam tracking algorithms can be developed. Theimportant aspect of the virtual proving ground is the ability to produce realistic sensor measurement inside the simulated environment. In this paper, we present methods to generate situation awareness information using GPS and IMU through simulations.
- 제목
- Sensor Models for V2X Situational Awareness Learning
- 저자
- ORIKUMHI, IGBAFE; Kim, Sunwwoo
- 발행일
- 2021-02
- 유형
- Proceeding
- 저널명
- 2021년도 한국통신학회 동계종합학술발표회 논문집
- 페이지
- 273 ~ 274