Automated Road Shoulder Stop Control for Unreachable Target Locations

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Solution Overview

Problem

Conventional automated driving systems face challenges in efficiently and safely performing minimal risk maneuvers for road shoulder stops, particularly in dynamic and unpredictable traffic conditions.

Innovation Solution

The proposed method and device for automated driving systems involve generating a potential stopping location, determining a target stopping location based on the potential stopping location, and controlling the road shoulder stop of the vehicle based on the target stopping location. This includes performing first and second operations for minimal risk maneuvering, such as changing the type of minimal risk maneuver or generating a new potential stopping location, if the initial target stopping location is difficult to reach.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the automated driving system strictly follows the conventional road shoulder stop procedure, then the stopping process is simple and straightforward, but the system cannot adapt to dynamic traffic conditions or system failures, reducing safety and reliability

Engineering Contradiction:
ImprovesafetyVSAvoidcontrol logic complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic control logic that adapts the minimal risk maneuver based on real-time conditions. The system monitors traffic situations, vehicle status, and environmental factors to dynamically adjust the stopping procedure, selecting from multiple MRM types (Type 1: straight stop, Type 2: in-lane stop, Type 3: road shoulder stop) rather than following a fixed conventional procedure

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes operational parameters based on detected conditions. When the initial target stopping location is difficult to reach or conditions change, the system modifies the MRM type, selects alternative potential stopping locations, and adjusts control parameters to maintain safety while adapting to the new situation

Inventive Principle:
Principle #35Parameter changes

2Reliability

If the automated driving system determines a target stopping location based on initial potential stopping locations, then the stopping process is efficient, but the system may fail to reach the target in challenging conditions, reducing reliability

Engineering Contradiction:
Improveability to reach target stopping locationVSAvoidtime for location determination
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary determination of potential stopping locations before executing the minimal risk maneuver. By pre-identifying multiple potential locations and evaluating their feasibility, the system prepares alternative options in advance, enabling faster response when the initial target becomes unreachable without sacrificing reliability

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors the vehicle's ability to reach the target stopping location and provides feedback to the control logic. When detection indicates the target is difficult to reach, the system receives feedback and automatically adjusts by selecting alternative potential stopping locations or changing the MRM type, ensuring the vehicle can still achieve a safe stop

Inventive Principle:
Principle #23Feedback

3Adaptability or versatility

If the automated driving system performs minimal risk maneuvers adaptively based on real-time conditions, then the system can handle challenging situations effectively, but the control logic becomes more complex

Engineering Contradiction:
Improveadaptability to traffic conditionsVSAvoidcontrol logic complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the minimal risk maneuver into distinct types (Type 1: straight stop, Type 2: in-lane stop, Type 3: road shoulder stop) with specific criteria for each. This segmentation allows the system to handle different traffic conditions through modular decision-making, selecting the appropriate segment based on current conditions rather than requiring a single complex unified logic

Inventive Principle:
Principle #1Segmentation

Data Source

PatentEP4549278A1Method and device of performing mininal risk manoeuvre for automated driving road shoulder stop by automated driving system
Publication Date: 2025.05.07 HYUNDAI MOBIS CO LTD
  • EP4549278A1 patent drawingFigure 1~2
  • EP4549278A1 patent drawingFigure 3~4
  • EP4549278A1 patent drawingFigure 5

AI summary

A method of performing automated driving (MRM)-road shoulder stop (SS) of a vehicle by an automated driving system (ADS) includes generating a first potential stopping location (PSL), determining a target stopping location (TSL) based on the first PSL, and controlling a road shoulder stop of the vehicle based on the TSL. The determining of the TSL includes, based on the determining of the TSL being unsuccessful, performing a first operation for MRM, and the controlling of the road shoulder stop of the vehicle includes, based on determining that it is difficult to reach the TSL, performing a second operation for the MRM.