Vehicle Safe Stop Control via Predicted Path Deviation Constraints
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Solution Overview
Problem
Current advanced driver assist systems in vehicles do not adequately ensure safe maneuvers, particularly in the event of system failure, risking road departure or collision during safe stop procedures.
Innovation Solution
A method and system that predict a near-future driving path using sensor data, determine acceptable spatial deviations, and provide instruction signals for limit velocity or deceleration values to ensure safe stops without violating these deviations, accounting for vehicle motion parameters and error values to reduce the risk of road departure or collision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle performs a safe stop maneuver in the event of system failure, then the vehicle can be brought to a stop, but the risk of road departure or collision increases due to inadequate control constraints
Solution Approach 1:
The system pre-calculates and stores velocity and deceleration constraint values based on predicted near-future driving paths and acceptable spatial deviations before a system failure occurs. When a failure is detected, these pre-computed constraints are immediately applied to the vehicle control system, enabling a safe stop maneuver without requiring real-time complex calculations during the emergency situation.
Solution Approach 2:
The system dynamically determines velocity and deceleration parameter constraints based on the predicted driving path and acceptable spatial deviations. By adjusting these control parameters (velocity limit, deceleration rate) according to the specific situation and error values, the system ensures the vehicle remains within safe boundaries during the stop maneuver.
2Productivity
If the vehicle travels at higher velocity to maintain productivity, then the stopping distance and time increase, but the acceptable spatial deviation from the predicted path may be violated during a safe stop
Solution Approach 1:
The system continuously updates velocity and deceleration constraint parameters based on the predicted near-future driving path and acceptable spatial deviations. By dynamically adjusting these parameters according to current vehicle state and environmental conditions, the system allows maximum safe velocity while ensuring the vehicle can stop within acceptable spatial boundaries if a failure occurs.
Solution Approach 2:
The system uses feedback from the predicted driving path and spatial deviation calculations to adjust velocity and deceleration constraints. The acceptable spatial deviation serves as a feedback parameter that informs the maximum allowable velocity and deceleration rates, creating a closed-loop control system that balances productivity with safety.
Data Source
AI summary
A method for providing instructions for controlling vehicle, the method comprising: predicting a near-future driving path for the vehicle using sensor data received from environmental sensors of the vehicle. Retrieving at least one acceptable spatial deviation value indicative of the acceptable deviation from the predicted driving path. Determining a limit velocity value or a longitudinal deceleration value based on predetermined relations between spatial deviations from the near-future driving path and vehicle motion parameters and corresponding error values. The limit velocity value and the longitudinal deceleration value are determined with the constraint that the acceptable spatial deviation is not violated along the predicted driving path. Providing an instruction signal comprising an instruction for the vehicle to travel below the limit velocity value, or comprising an instruction to decelerate according to the longitudinal deceleration value in the event of a safe stop procedure.