|Description:||The aim of this project is to review and implement (and possibly design) algorithms for correlating features extracted from distinct sensory modalities: geometrical features from 3D LiDARs and visual descriptors from cameras. The student will study local visual feature descriptors (SIFT, SURF, etc.) and laser features (planes, edges, etc.) and will review methods for mutual associations of these two spaces. The work is motivated by research in localization within a map generated from a sensor with a different modality. The work will include a review of related literature recommended by the supervisor. Testing data will be provided by the supervisor or will be generated by the student in a simulator.