Capturing the nuances of autonomous navigation, providing key mapping inputs.

The Autonomous Vehicle (AV) needs to understand where it is with high accuracy at any time for its decision-making. We are talking about sub-decimeter level accuracy here, which helps the AV to maintain aspects like lane centricity. The accuracy provided by a GPS is not enough and the signal continuity itself is not trustworthy. Sensors like Inertial Measurement Units (IMU) help understand the location of a vehicle using its motion parameters through extrapolation, but the accuracy is questionable. Consequently, an AV depends on high definition (HD) maps for accurate localization. Comparison of features in HD maps and around the vehicle, in conjunction with distance triangulation from multiple such features at any time help the AV localize. The sensing of these features and their distance from the AV is done using sensors like LiDAR and Radar. Wipro offers distance sensing solutions using these sensors and stereoscopic cameras. Unique feature identification, comparison with feature in maps, detecting updates to the existing HD maps are part of the offerings in this space. We offer HD map centric solutions, along with mapping techniques like Visual SLAM, instrumental in industrial use cases like autonomous mobile robots. Wipro also has an HD mapping partner, for exhaustive coverage across this space.