University of Florida researchers discovered that simple visual patterns like stripes can cause autonomous vehicles and robots to misjudge obstacle distances, potentially triggering collisions. The vulnerability affects stereo camera depth-estimation systems across multiple manufacturers and can occur naturally or through deliberate attacks. The team developed defenses for both traditional algorithms and AI models to address this fundamental weakness.