Vehicle Emergency Stop Controller Using Risk Area Assessment
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Solution Overview
Problem
Existing vehicle safety systems, such as Advanced Driver Assist Systems, are inadequate in minimizing driver and passenger injury when a driver becomes inoperable, as they fail to effectively control the vehicle to avoid collisions through lane changes and braking in response to surrounding traffic conditions.
Innovation Solution
A vehicle system that includes sensors to detect obstacles, an emergency stop condition determiner, and a controller to assess whether a collision can be avoided by braking alone, and if not, to determine a risk area in an adjacent lane for lane changes or braking, thereby controlling the vehicle to prevent accidents when a driver is in an inoperable state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the vehicle uses Advanced Driver Assist Systems to provide information about vehicle state, driver state, and surrounding conditions, then the driver's convenience and information awareness are improved, but the system cannot directly control the vehicle to avoid collisions when the driver is in an inoperable state
Solution Approach 1:
The vehicle system performs self-diagnosis and self-control when the driver is detected to be in an inoperable state. The controller automatically determines emergency stop conditions based on driver state monitoring, and autonomously controls braking and steering systems without requiring driver input, enabling the vehicle to protect itself and its occupants during critical situations
Solution Approach 2:
The controller acts as an intermediary between the driver state monitoring system and the vehicle control systems (braking, steering). When the driver is inoperable, the controller receives emergency stop commands or detects emergency conditions, processes this information, and translates it into coordinated control signals for the braking and steering systems to execute protective maneuvers
2Reliability
If the vehicle determines risk areas in adjacent lanes based on braking distance and obstacle detection, then the lane change safety is improved, but the response time and computational complexity increase
Solution Approach 1:
The system pre-calculates risk areas in adjacent lanes based on current braking distance and obstacle detection information before an emergency maneuver is initiated. By having this spatial risk assessment ready in advance, the controller can make rapid lane change decisions without performing complex real-time calculations during the critical emergency response period
Solution Approach 2:
The system dynamically adjusts the risk area parameters (such as the extent of the risk area in adjacent lanes) based on changing vehicle conditions including braking distance, vehicle speed, and detected obstacle positions. This allows the safety assessment to remain accurate while adapting to different emergency scenarios without requiring complete recalculation of all parameters
Data Source
AI summary
A vehicle includes an inputter receiving an emergency stop command; an emergency stop condition determiner determining that an emergency stop condition is satisfied when a driver's state is determined as a predetermined inoperable state, a steering wheel is not operated for a predetermined time period, or a rate of change of a yaw rate of the vehicle exceeds a predetermined value; a sensor configured for detecting an obstacle around the vehicle; and a controller configured to determine whether the vehicle can avoid collision with a front obstacle only by braking without a lane change, to determine a risk area in an adjacent lane based on a braking distance of the vehicle and obstacle detection information in a lane adjacent to a driving lane of the vehicle, and to control the lane change or a braking process of the vehicle based on whether the obstacle is detected in the determined risk area.