Design an autonomous-vehicle camera and perception pipeline

Design the path from a self-driving car's cameras to its perception outputs: capture, synchronization and timestamps across cameras, image processing, model inference on the vehicle's accelerators, and delivery of detected objects and scene information to planning.

Cover latency budgets end to end, throughput, how sensor and model failures are detected and degraded safely, recording data for later training, and how you test and roll out changes.