An enlarged overhead view maps teacher-driven parking routes and nearby obstacles, improving positional awareness for accurate parking.
A rear perspective display adds a trailer object and lane context so drivers can judge trailer impact faster and steer more safely.
Psychophysical feedback mapping turns ADAS blending levels into proportional steering cues, improving driver awareness in shared control.
Calculating mirror-closing timing from frontage width, speed, and closure time helps avoid contact in narrow parking maneuvers.
Post-processing Reeds-Shepp paths into continuous-curvature segments cuts stops and tire wear while keeping collision-free real-time vehicle control.
Independent forward and reverse wheel torque enables controlled vehicle yaw, then slip and yaw-rate feedback maintain a tight pivot.
Kalman filtering combines yaw rate, wheel speed, steering angle, and track width to estimate tire circumference for more precise parking and maneuvers.
Continuous learning of surroundings and driver actions enables faster familiar-route assistance while scaling automation by correlation reliability.
Predicted vehicle trajectory and lane boundary geometry replace lookup tables, making lane keeping triggers easier to calibrate and validate.
Preplanned lane selection through non-lane zones keeps road-width position stable and avoids unexpected lane changes after lane count shifts.
Driver monitoring adjusts steering intervention during following travel, balancing lane guidance availability with lateral collision risk.
Manual lane-change habits are learned to tune autonomous trajectories and lateral dynamics, making automated maneuvers feel more familiar.
Recorded trajectory, sensor, and map data let the vehicle suggest and execute reversing when a dead-end blocks forward travel.
Map and vehicle data are combined to display a maximum-width trajectory, helping heavy-vehicle drivers avoid off-tracking collisions in narrow roads.
Dual rear radar tracks are cross-checked to filter erroneous detections, cutting false parking-exit collision warnings.
Adaptive preview distance based on path curvature improves reversing accuracy and stability for articulated vehicles in narrow areas.