AI Object Field of View and Collision Detection in Virtual Scenes
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Solution Overview
Problem
Current AI objects in virtual scenes often experience improper field of view, leading to collisions with movable characters and reduced authenticity, resulting in stuck game scenarios and inefficient resource consumption.
Innovation Solution
An object processing method and apparatus that determine and adjust the field of view of AI objects in virtual scenes, combined with collision detection, allowing the AI objects to dynamically avoid obstacles and enhance their visual and physical perception capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If AI objects are given visual field perception capability, then the authenticity of AI object performance is improved, but the device complexity increases
Solution Approach 1:
The visual field perception system is segmented into multiple independent components: field of view determination module, collision detection module, and obstacle avoidance control module. Each module handles a specific aspect of the perception and response system, reducing overall system complexity while maintaining comprehensive functionality.
Solution Approach 2:
The system performs preliminary collision detection before AI object movement is executed. By detecting potential collisions in advance and adjusting the movement path accordingly, the system prevents problematic scenarios before they occur, reducing the need for complex post-collision resolution mechanisms.
2Reliability
If collision detection is performed in 3D space, then obstacle avoidance capability is improved, but the use of energy increases
Solution Approach 1:
The collision detection is performed selectively based on the AI object's movement intentions and environmental context. Rather than continuously detecting all possible collisions, the system performs detection only when and where necessary, reducing energy consumption while maintaining effective obstacle avoidance capability.
3Reliability
If AI objects move with proper field of view control, then the authenticity of movement is improved, but the productivity of game scene processing decreases
Solution Approach 1:
The system performs preliminary field of view determination and collision detection before executing AI object movement. By pre-calculating safe paths and adjusting movement parameters in advance, the system avoids complex real-time adjustments during movement, maintaining both authenticity and processing efficiency.
Data Source
AI summary
An object processing method in a virtual scene, includes: determining a field of view of an artificial intelligence (AI) object in the virtual scene; controlling the AI object to move in the virtual scene based on the field of view; performing collision detection of three-dimensional (3D) space on a virtual environment where the AI object is located during movement of the AI object to obtain a detection result; and controlling, in response to determining that an obstacle exists in a moving path of the AI object based on the detection result, the AI object to avoid the obstacle.