IIHS Data Shows Front Crash Prevention Systems Less Effective Against Motorcycles and Trucks

Insurance Institute for Highway Safety (IIHS) research released in January 2024 shed important light on the limitations of front crash prevention systems, finding that automatic emergency braking and forward collision warning technologies perform significantly less effectively when the target object is a motorcycle or large truck rather than a passenger vehicle. The findings have direct implications for how glass shops discuss ADAS calibration importance with customers.

Front crash prevention systems rely on windshield-mounted cameras, radar units, or both to detect objects in the vehicle's path and initiate automatic braking or driver alerts. The IIHS research indicated that these systems' object-recognition algorithms, trained primarily on passenger-car profiles, can produce lower detection rates and slower response times when encountering motorcycles—whose narrower profile and different heat and radar signature present a more complex detection challenge.

Similarly, large trucks present a different calibration challenge: the height and profile of a truck bumper relative to a passenger vehicle's camera field of view can affect front-radar performance in rear-end approach scenarios. The research emphasized that system effectiveness is not uniform across all traffic scenarios, even when calibration is technically correct.

For auto glass shops, these findings carry a nuanced message. Proper ADAS calibration after windshield replacement ensures the system performs within its designed parameters for the target objects it was engineered to detect. Miscalibration can further degrade performance below those already-variable baselines. The research reinforces why calibration accuracy is safety-critical, not a discretionary add-on.

Glass shop operators who communicate with customers about ADAS calibration can use the IIHS research context to explain why system accuracy matters across all driving scenarios, not just the ones most commonly depicted in marketing materials. A camera that is fractionally misaligned after a windshield replacement may perform adequately in ideal scenarios but fail to deliver even the limited performance the system achieves with more difficult target types.

The takeaway for shop technicians: calibration is the final safety step in any ADAS-equipped vehicle windshield replacement. The research reinforces that "close enough" is not an acceptable calibration outcome when the systems in question are the vehicle's last line of defense before a collision.