Camera-based road marking detection advances AEB warnings and deceleration cues to improve driver awareness and reduce abrupt braking discomfort.
Electronic tie marking combines tie-based location references, real-time updates, and crew tracking to improve railroad maintenance accuracy and avoid collisions.
A sonar-based vehicle controller uses line-and-arc intersections to locate objects more accurately during turns and improve collision detection.
A phased minimum risk maneuver uses gentle braking first, then full stop if network disturbance persists, reducing rear-end risk.
Brake control adapts to collision type and driver consciousness, preserving rational intervention while preventing secondary collisions.
Collision prediction triggers vehicle state changes such as reducing occupied space, helping autonomous vehicles pass narrow paths without impact.
A speed-aware control switch links the parking brake and parking gear while holding braking force until parking control finishes.
Radial wheel acceleration thresholds detect parking-garage vehicle movement and automatically disable remote automatic parking mode.
Rear, side, and front sensor data reshape AEB triggers and braking force to avoid forward impacts without raising rear collision risk.
Ultrasonic reflection thresholds trigger brake pre-boost and activation earlier, cutting idle running time for close obstacle braking.
A parallel safety module switches brake chamber airflow to backup valves and a suspension air tank when the main brake circuit fails.
Brake force is redistributed by speed and steering angle during low-speed turns to suppress creeping noise without losing tight-turn assist.
An independent controller uses pedal inputs and 3-axis acceleration data to detect unintended acceleration and interrupt prime mover commands.
Time-offset brake modulator actuation cuts peak current and prevents voltage drops while preserving fast braking in multi-trailer vehicles.
Surrounding environment data guides braking after accelerator release, balancing fuel efficiency with traffic safety in manual driving.
Driver activity sensing delays or suppresses needless emergency braking warnings while preserving timely braking in critical traffic situations.
Switching AEB object-filter modes after lane departure cuts false alerts while preserving timely braking for stationary obstacles.
Real-time vehicle mass input shifts AEB deceleration timing and brake force to avoid underbraking when loaded and early stopping when light.
Slope-adjusted speed thresholds trigger braking torque earlier during automated stopping, preventing rollback on inclines without harsh flat-road stops.
When wheel speed diverges from vehicle speed, an override braking algorithm cuts skid risk by recalibrating pressure for safer deceleration.
Braking force is reduced according to accelerator input, vehicle state, and surroundings to avoid abrupt deceleration assist cancellation discomfort.
Collision timing checks keep emergency stop braking active when steering or brake inputs are caused by impact rather than driver recovery.
Camera-based lane line distortion and pitch angle checks help AEB pre-fill braking respond more reliably to uphill and downhill collision risks.
Road images classify dry, wet, snowy, or icy trajectories so driver assistance features can switch cascades for more reliable operation.
Confidence-based braking logic limits hard stops to high-confidence object detections, reducing false emergency braking while protecting safety and comfort.