Out of Sync by Nanoseconds: The Sensor Fusion Timing Crisis Threatening Autonomous Navigation
Modern autonomous vehicles and robotic platforms fuse data from lidar, radar, and camera arrays under the implicit assumption that all sensor streams share a common temporal reference. They rarely do. Nanosecond-scale misalignments between heterogeneous sensor timestamps are compounding into navigation errors that software fusion algorithms cannot correct for—because the timing problem is invisible to the algorithms themselves. This article investigates the synchronization architectures that are