FEV plans to use existing LiDAR SLAM algorithms for environment mapping and to enhance localization by fusing LiDAR, GPS, Radar, and Camera sensor outputs. FEV’s collection vehicle will be the existing Smart Vehicle platform with the multi-sensors integrated. This project will produce a detailed mapping infrastructure for accurate mapping and localization to enable autonomous driving within the Corktown Neighborhood area. Mapping refers to the definition of critical objects for path planning including signage, defined lane marking and waypoint data. Path planning and the associated data are critical components to the deployment of self driving machines.
FEV’s provided mapping data will enable all developers in the self-driving space to deploy solutions in the Corktown neighborhood across multiple platforms. Autonomous mobility platforms will provide lower cost mobility solutions for ride sharing, handicap assessable commuting, and goods delivery. Lower cost mobility solutions will directly impact residents, workers, and visitors in the Michigan Central Station impact area by increasing access to affordable mobility.