**Automated Systems Fail Safety Tests** – Independent Ranking Reveals Troubling Results for Driverless Cars

Los Angeles, California – As driverless cars continue to face challenges and safety concerns, automakers are investing in partially automated systems to enhance the driving experience. These systems offer a range of features such as steering, acceleration, and braking assistance, aiming to attract customers with the convenience and innovation they provide.

Despite industry claims of safety superiority over human driving, the Insurance Institute for Highway Safety (IIHS) remains skeptical. The IIHS recently introduced a ranking system for partially automated systems, evaluating 14 different systems. Shockingly, only one system passed the test, with 11 systems rated as poor and two as marginal.

Partially automated systems are not to be confused with self-driving cars; drivers are still required to be vigilant and ready to take control when needed. These systems utilize sensors and cameras to aid drivers with functions like adaptive cruise control, lane-keep assistance, and automated lane changing. However, drivers often become overly dependent on these systems, resulting in delayed reaction times when taking back control.

Leading vehicles equipped with partially automated systems were put to the test by IIHS, including popular models like Tesla’s Full Self-Driving, GM’s Super Cruise, and Ford’s BlueCruise. Surprisingly, only Lexus’ Teammate with Advanced Drive was deemed acceptable, while others like GM’s Super Cruise and Nissan’s ProPilot Assist were rated as marginal. Systems like BlueCruise and Tesla’s FSD received poor ratings.

To assess the systems, IIHS conducted various tests, including obscuring a driver’s face from in-car cameras and sensors with a cheesecloth, and simulating hands on the steering wheel with ankle weights. The group discovered that some of the systems were easily fooled and failed to monitor driver attention effectively.

Despite the concerning results, IIHS found a glimmer of hope in the fact that all vehicles performed well in at least one category. This suggests that improvements are achievable with software updates and other adjustments, offering a potential solution to enhance the safety and reliability of partially automated systems.