Autonomous Vehicle Pedestrian Interaction Control
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Solution Overview
Problem
Current autonomous vehicle control systems lack effective methods to safely interact with pedestrians and manage speed adjustments based on real-time pedestrian behavior and environmental conditions, potentially leading to accidents.
Innovation Solution
A method and apparatus for controlling autonomous vehicles that send behavior prompt information to pedestrians, determine if deceleration conditions are met based on pedestrian behavior, and adjust vehicle speed or apply emergency braking as necessary, using target areas and vehicle-mounted devices to ensure safe operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous vehicle sends behavior prompt information and adjusts speed based on pedestrian behavior, then the safety of pedestrian interaction is improved, but the system complexity increases due to multiple target areas and decision conditions
Solution Approach 1:
The system divides the surrounding environment into multiple target areas (first target area, second target area, third target area, fourth target area) with different safety levels and response requirements. Each target area has specific geometric definitions and triggers different control actions, enabling structured handling of complex pedestrian interaction scenarios without overwhelming system complexity
Solution Approach 2:
The system pre-defines multiple target areas and their corresponding control actions in advance. When a pedestrian enters a target area, the system executes pre-determined behaviors (sending prompt information, adjusting speed, stopping, or emergency braking) based on the area type, eliminating the need for complex real-time decision-making algorithms
2Speed
If the autonomous vehicle continuously monitors pedestrian behavior and adjusts speed frequently, then the responsiveness to pedestrians is improved, but the energy consumption increases
Solution Approach 1:
The system implements periodic monitoring by checking pedestrian positions and behaviors at discrete time points rather than continuous monitoring. Speed adjustments are triggered by specific events (pedestrian entering target areas, behavior changes) rather than continuous control, reducing computational load and energy consumption while maintaining responsive pedestrian interaction
Data Source
AI summary
A method and an apparatus for controlling an autonomous vehicle are provided according to the embodiments of the disclosure. The method includes: sending, in response to determining that a pedestrian is in a first target area, behavior prompt information representing prompting the pedestrian to make a corresponding behavior; determining whether a deceleration condition matching the behavior prompt information is satisfied based on acquired behavior information of the pedestrian; and sending control information for reducing a moving speed of the autonomous vehicle, in response to determining that the deceleration condition is satisfied and determining that a speed of the autonomous vehicle is greater than a preset deceleration threshold. According to the embodiments, deceleration control of the autonomous vehicle is achieved based on the response of the pedestrian to the behavior prompt information.