Abstract
Accurate self-localization is important to realize safe autonomous driving. Conventionally, millimeter-wave radar has been used for self-localization to ensure robustness against changes in the surrounding environment, such as snow and heavy rain. But there is an issue of estimated accuracy due to low resolution. This study aims to improve accuracy of self-localization while maintaining high robustness against environmental changes by implementing localization module which uses 4D imaging radar with high resolution.
