Finding
Cameras are the one sensor every stack uses, and their data rate sizes the computer behind them
Every autonomy system, vision-only or multi-sensor, uses cameras for color, lanes, signs and signals. A typical suite has eight to 12 exterior cameras: three facing forward at different focal lengths, four on the sides, one at the rear, plus a cabin camera to watch the driver in supervised systems. Eight 5-megapixel cameras at 36 frames a second produce about 17 gigabits per second of raw video, which the autonomy computer has to ingest and process in real time.
That arithmetic explains why camera upgrades and compute upgrades arrive together: higher resolution sees farther at highway speed but multiplies data, so more megapixels need more inference capacity and memory bandwidth. Dynamic range (handling tunnels and low sun), LED flicker mitigation and lens heating for ice are the image-quality factors that matter most in practice. China's suppliers, including Sunny Optical for lenses and OmniVision and SmartSens for image sensors, supply a large share of automotive cameras worldwide alongside Sony and onsemi.
Roles
Camera roles
| Camera | Job | Design |
|---|---|---|
| Forward narrow | Long range, highway | Narrow field of view, high resolution |
| Forward main and wide | Urban context, intersections, cut-ins | Wide field of view |
| Side-front and side-rear | Blind spots, lane changes, cyclists | Overlapping coverage |
| Rear | Reversing, rear traffic | Wide angle |
| Cabin | Driver attention in supervised systems | Infrared for night |
Sources
Sources and scope
- Scope
- Camera systems for driver assistance and autonomy
- Sources
- ElectronsX analysis (data-rate arithmetic); supplier disclosures
- Updated
- October 2026