Abstract-LIDAR-only and camera-only approaches to global localization in planetary environments have relied heavily on availability of elevation data. The low-resolution nature of available DEMs limits the accuracy of these methods. Availability of new high-resolution planetary imagery motivates the rover localization method presented here. The method correlates terrain appearance with orthographic imagery. A rover generates a colorized 3D model of the local terrain using a panorama of camera and LIDAR data. This model is orthographically projected onto the ground plane to create a template image. The template is then correlated with available satellite imagery to determine rover location. No prior elevation data is necessary. Experiments in simulation demonstrate 2m accuracy. This method is robust to 30° differences in lighting angle between satellite and rover imagery.
I. INTRODUCTIONGlobal localization for planetary rovers has bearing on many applications of exploratory and scientific interest. Rovers will be expected to maintain precise pose estimates over long traverses, build detailed models of interesting regions, and accurately correlate in-situ measurements with satellite imagery to achieve high science return. Autonomous global localization results in more efficient use of human operators, enabling them to focus on scientific and exploration objectives instead of rover positioning. It also makes possible driving without communication for operations such as forays into radio-dark craters at the poles of the Moon. Despite its impact, precise, autonomous, global localization has not yet been achieved. Current means for localization include absolute methods like radio tracking from a satellite and matching to elevation data, and relative methods like wheel odometry, inertial navigation, and visual odometry. Absolute methods using radio rely on infrastructure and are limited to operate within line-of-sight of the radio beacon. Elevation data is often much lower resolution than available imagery, limiting localization precision. Relative methods drift over time and become inaccurate without human input. These approaches are insufficient for long-range traverse where regular updates from Earth are infeasible and line of sight is not