Autonomous Vehicle Door Control for Predicted Boarding Collisions

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Solution Overview

Problem

Existing autonomous vehicle systems lack effective methods to predict and manage passenger safety during boarding and alighting, particularly in predicting potential collisions and managing door operations based on passenger movements.

Innovation Solution

An autonomous vehicle control apparatus and method that utilizes sensors and cameras to gather information on entities around the vehicle, processes this data using processors to determine the position and movement of passengers and other entities, and controls door operations based on predicted interactions and safety assessments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If the door is opened immediately when the vehicle stops, then passenger boarding efficiency is improved, but the risk of collision with approaching entities increases

Engineering Contradiction:
Improveboarding efficiencyVSAvoidcollision risk
Core Design Contradiction:
ProductivityVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary detection of entities around the vehicle and predicts their trajectories before the door opening operation. The processor analyzes sensing information from multiple sensors to identify pedestrians, vehicles, and other obstacles in the vicinity, and predicts whether they will collide with the opening door or passengers, allowing the door control decision to be made safely and efficiently

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors the environment around the vehicle using multiple sensors (cameras, LIDAR, ultrasonic sensors) and provides real-time feedback to the door control system. The processor receives sensing information, updates entity positions and trajectories, and adjusts door opening decisions based on current environmental conditions, ensuring both safety and efficiency

Inventive Principle:
Principle #23Feedback

2Object-affected harmful factors

If the door operation is delayed to ensure safety, then collision risk is reduced, but boarding and alighting time increases

Engineering Contradiction:
Improvecollision riskVSAvoidboarding and alighting time
Core Design Contradiction:
Object-affected harmful factorsVSLoss of time

Solution Approach 1:

The system performs preliminary detection and prediction of entity trajectories before the door opening operation. By analyzing sensing information in advance and predicting whether entities will collide with the opening door, the system can make rapid door control decisions without unnecessary delays, balancing safety with efficient boarding and alighting operations

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The door control system dynamically adjusts its operation based on real-time environmental conditions. The processor continuously evaluates sensing information and entity trajectories, and adapts the door opening timing and speed accordingly. When the environment is safe, the door opens quickly; when entities are detected as potential threats, the door operation is delayed or modified, optimizing both safety and efficiency

Inventive Principle:
Principle #15Dynamics

3Measurement precision

If multiple sensors and cameras are used to detect entities, then detection accuracy is improved, but device complexity increases

Engineering Contradiction:
Improveentity detection accuracyVSAvoidsensing system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The sensing system is divided into multiple independent sensor modules (cameras, LIDAR, ultrasonic sensors, radar) that can be independently configured and calibrated. Each sensor type detects specific aspects of the environment (visual information, distance, velocity), and the processor integrates these segmented data streams to achieve comprehensive and accurate entity detection with reduced individual sensor complexity

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system merges data from multiple different sensor types and cameras into a unified environmental model. The processor integrates sensing information from various sources to create a comprehensive understanding of entities around the vehicle, achieving high detection accuracy through data fusion while managing system complexity through centralized processing

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS20260065489A1Apparatus and method for controlling autonomous vehicle
Publication Date: 2026.03.05 HYUNDAI MOTOR CO LTD
  • US20260065489A1 patent drawing
  • US20260065489A1 patent drawing
  • US20260065489A1 patent drawing

AI summary

Disclosed is an autonomous vehicle control apparatus including a sensor that obtains sensing information associated with an entity around a vehicle, a camera that obtains an image of the entity, and one or more processor that determine whether the entity is estimated to reach the vehicle at least a predetermined time after a door of the vehicle opens, and control a position of the door.