Vehicle Collision Avoidance Using Dynamic Object Motion Images
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Solution Overview
Problem
Existing collision avoidance systems for vehicles struggle to flexibly handle various surrounding environments, as they primarily rely on the behavior of surrounding objects for collision prediction and avoidance, which can lead to inadequate responses in dynamic and diverse scenarios.
Innovation Solution
A vehicle system equipped with sensors and a processor that generates images reflecting dynamic characteristics of surrounding objects, such as pedestrians, bicycles, and electric scooters, to determine optimal collision avoidance trajectories within a lane, considering factors like movement speed, direction, and posture, and adjusts display forms and brightness based on risk levels to guide evasive maneuvers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If collision avoidance is performed simply based on the behavior of surrounding object, then the system is easy to operate, but it cannot flexibly cope with collision situations according to various surrounding environments
Solution Approach 1:
The patent applies dynamics by making the display form of surrounding objects adaptive and changeable based on their movement characteristics. The system dynamically adjusts the visual representation (ellipse shape, size, orientation) according to the object's movement speed and direction, enabling flexible response to various collision situations without requiring a completely complex system redesign.
Solution Approach 2:
The patent changes parameters of the display form (ellipse dimensions, orientation, position) based on the movement parameters of surrounding objects. By varying these visual parameters according to object characteristics, the system achieves adaptability to different environments while maintaining a relatively simple underlying structure.
2Measurement precision
If the system displays detailed information about surrounding objects, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The patent creates a simplified visual copy (ellipse) that represents the essential movement characteristics of surrounding objects. Instead of displaying complex raw sensor data or detailed object models, the system generates an elliptical representation that captures key information (movement speed, direction, position) in an intuitive visual form, reducing processing complexity while maintaining detection precision.
3Reliability
If the vehicle performs in-lane steering for collision avoidance, then the collision avoidance effectiveness is improved, but the vehicle control complexity increases
Solution Approach 1:
The patent introduces an intermediary visual representation (the ellipse and its parameters) that mediates between sensor detection and control decision-making. This intermediate representation simplifies the information processing required for in-lane steering decisions, making the control system more manageable while maintaining effective collision avoidance capability.
Data Source
AI summary
Various embodiments of the present disclosure relate to a vehicle that includes a plurality of sensors configured to obtain surrounding environment information and a processor operatively coupled to the plurality of sensors. The processor is configured to generate a plurality of images reflecting dynamic characteristics according to a type of a surrounding object based on the surrounding environment information, and determine a collision avoidance trajectory for avoiding collision with the surrounding object based on the plurality of images reflecting dynamic characteristics according to the type of the surrounding object.