Automated Vehicle Emergency Stop Selection for Collision Avoidance
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Solution Overview
Problem
Advanced driver assistance systems (ADAS) may fail to adequately respond to unexpected events during automated driving, leading to potential collisions with neighboring vehicles.
Innovation Solution
A vehicle system that determines an emergency stop type using sensors, controllers, and artificial intelligence to minimize collision risk by selecting from straight-ahead, in-lane, half-shoulder, or full-shoulder stopping maneuvers based on vehicle and environmental data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the vehicle performs automated driving with standard ADAS, then driving convenience is improved, but response capability to unexpected events deteriorates
Solution Approach 1:
The system dynamically adjusts the emergency stop strategy based on real-time surrounding environment information. The processor selects different stop types (straight-ahead, in-lane, half-shoulder, full-shoulder) depending on the detected situation, making the response adaptive rather than fixed. This dynamic adjustment resolves the contradiction by enabling the system to maintain automated driving convenience while reliably responding to unexpected events through context-appropriate emergency maneuvers.
Solution Approach 2:
The system changes the parameter of stop type selection based on environmental conditions. By evaluating surrounding information and determining the most appropriate stop type from multiple options, the system transforms a single fixed response into a multi-parameter decision framework. This allows the vehicle to maintain ease of operation through automated decision-making while improving reliability by selecting the most effective emergency response for each specific situation.
2Object-affected harmful factors
If the vehicle executes emergency stop maneuvers, then collision risk is reduced, but driving stability may be compromised
Solution Approach 1:
The system applies different stop types based on local environmental conditions. Rather than using a uniform emergency stop approach, the processor selects specific stop types (straight-ahead, in-lane, half-shoulder, or full-shoulder) according to the local situation detected by sensors. This localized adaptation minimizes collision risk in each specific context while maintaining driving stability by choosing maneuvers appropriate to the surrounding environment.
Solution Approach 2:
The emergency stop system dynamically selects the appropriate stop type based on real-time environmental assessment. The processor continuously evaluates surrounding information and adjusts the stop strategy accordingly, transitioning between different stop types as conditions change. This dynamic approach reduces collision risk by adapting to immediate threats while preserving driving stability through context-appropriate maneuvers rather than rigid fixed responses.
3Adaptability or versatility
If multiple stop types are available for emergency situations, then adaptability to different scenarios is improved, but system complexity increases
Solution Approach 1:
The emergency stop function is segmented into four distinct stop types: straight-ahead stopping, in-lane stopping, half-shoulder stopping, and full-shoulder stopping. Each segment addresses specific scenario requirements. The processor evaluates surrounding environment information and selects the appropriate segment, breaking down the complex decision-making into manageable discrete options. This segmentation improves adaptability to different scenarios while controlling system complexity through structured categorization.
Solution Approach 2:
The emergency stop system is designed with multi-functionality, where a single control unit can execute multiple types of stop maneuvers. The processor universally handles different stop types by evaluating environmental conditions and selecting from the available options. This universal approach improves adaptability across various emergency scenarios while avoiding the need for separate dedicated systems for each stop type, thereby managing complexity through integrated multi-functional design.
Data Source
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AI summary
The invention relates to a method for operating a vehicle including monitoring a state of the vehicle, determining a type of an emergency stop from a plurality of types of emergency stops based on the state of the vehicle, and executing the determined type of the emergency stop. A vehicle includes sensors (110), a processor (130) configured to control automated driving of the vehicle based on state information of components of the vehicle and surrounding environment information of the vehicle detected by the sensors (110), and a controller (120) configured to control an operation of the vehicle based on a control of the processor (130), wherein the processor (130) is further configured to monitor a state of the vehicle, determine a type of an emergency stop from a plurality of types of emergency stops based on the state of the vehicle, and execute the determined type of the emergency stop by controlling the controller (120).