State-Estimation-and-Localization-for-Self-Driving-Cars
PublicState estimation is a vital part of any self-driving car software stack, which relies on the sensor measurements consisting of an IMU, a GNSS receiver, and a LiDAR to provide an accurate state estimation. However, since all of the sensors provide measurements of varying reliability and at different rates and reference frames, spatial and temporal multisensor calibration is required.