Comparing actual and expected driving behavior helps detect a sliding vehicle early, enabling warnings or mitigation to reduce collision risk.
Vehicles independently calculate cooperation degree from motion states to coordinate passage through shared areas without communication delays.
Vehicle motion data corrects radar measurements on curves, improving axis deviation detection and stationary obstacle accuracy.
Dynamic switching of obstacle recognition and route planning algorithms helps automated driving adapt to road and time conditions with better safety and efficiency.
Early lane-change alerts let following vehicles adapt speed or position in advance, easing motorway congestion and reducing abrupt braking.
A single peripheral monitoring display combines touch and slide control of driver assistance and autonomous driving functions to simplify in-vehicle operation.
Collision-range overlap with braking-unrequired zones guides when to suppress braking, improving prediction accuracy and avoiding harmful maneuvers.
Distinct turn signal operations trigger adjacent or distant lane change assistance, reducing repeated inputs while preserving safety checks.
Predicted turning paths and a provisional contact point improve collision judgment at curves and intersections, enabling timely braking.
Detects characteristic changes in driving, braking, and steering components to flag replacement needs and preserve autonomous trajectory followability.
Driver monitoring data is split into recordable and protected parts, enabling arousal checks and accident evidence without storing identifiable images.
By combining in-vehicle sensing with roadside LiDAR, the display overlays hidden objects behind obstructions to improve driver hazard awareness.
Position-based display rules limit filled backgrounds and intrusive content when a virtual image display area shifts, reducing driver distraction.
Dynamic restricted passage spaces let autonomous vehicles avoid pedestrians and other vehicles in ports or parks without dedicated lanes.
Stored camera images are synthesized with vehicle position data to show the full parking route and obstacles beyond the near-vehicle view.
Early collision-risk alerts prompt drivers to steer sooner, reducing late evasive effort while the system assists the avoidance path.