Curve-Aware Driving Assist Velocity Control for Smooth Deceleration
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Solution Overview
Problem
Existing vehicle systems lack effective methods to predict and manage optimal velocity profiles for vehicles approaching curved roads, leading to inconsistent driver decisions and potential discomfort due to rapid deceleration or jerking movements.
Innovation Solution
A vehicular driving assist system uses a camera and electronic control unit to process image data, combining lane markings and map data to determine a target velocity profile, ensuring the vehicle follows a smooth deceleration path by limiting maximum lateral and longitudinal accelerations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the vehicle decelerates rapidly to follow the target velocity profile, then the vehicle can adapt quickly to curve conditions, but occupant comfort deteriorates due to jerking movements
Solution Approach 1:
The system calculates and applies cushioning acceleration values before the vehicle enters the curve section. The ECU determines a cushioning acceleration that is less than the maximum deceleration capability, specifically designed to reduce jerking movements. This pre-cushioning approach ensures smooth deceleration that maintains occupant comfort while still adapting the vehicle speed to curve conditions in advance.
Solution Approach 2:
The system performs preliminary detection of curve sections using map data and lane marking recognition before the vehicle actually enters the curve. The ECU calculates the target velocity profile and cushioning acceleration in advance, allowing the vehicle to begin smooth deceleration before the curve begins, rather than reacting abruptly when the curve is encountered.
2Productivity
If the vehicle maintains high velocity approaching curves, then travel efficiency is improved, but safety deteriorates due to insufficient reaction time
Solution Approach 1:
The system uses map data containing curve information and lane marking detection to identify upcoming curves in advance. The ECU calculates the target velocity profile before the vehicle reaches the curve section, allowing the driver to maintain higher speeds longer while still having sufficient time to decelerate safely. This preliminary action maintains productivity by avoiding unnecessary early deceleration while ensuring safety through advance preparation.
Solution Approach 2:
The system continuously monitors the vehicle's actual velocity and position, comparing it against the calculated target velocity profile. The ECU adjusts the cushioning acceleration in real-time based on feedback from sensors and ongoing lane marking recognition, ensuring the vehicle follows the optimal velocity profile that balances efficiency and safety throughout the approach to and through the curve.
Data Source
AI summary
A vehicular driving assist system includes a camera disposed at a vehicle. The system, while the equipped vehicle is traveling along a traffic lane, determines lane markings of the traffic lane. The system determines curvature of the traffic lane based on (i) curvature of the determined lane markings and (ii) map data representative of a current geographical location of the vehicle. The system, based at least in part on the determined curvature, determines a target velocity profile that establishes a target lateral velocity for the vehicle to follow as the vehicle travels along the traffic lane of the road. Based at least in part on the determined target velocity profile, the system decelerates the vehicle to follow the target velocity profile as the vehicle travels along the traffic lane of the road while lateral acceleration of the equipped vehicle remains below a maximum allowable lateral acceleration.