VR Play Area Auto-Configuration With LiDAR Obstacle Detection
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Solution Overview
Problem
Current virtual reality (VR) headsets require manual configuration of a play area, which can lead to irregular boundaries and suboptimal use of available space, and lack depth sensing capabilities for safe movement, posing risks of physical harm due to inadequate spatial awareness and obstruction detection.
Innovation Solution
Implementing LiDAR and optical sensors for automatic play area configuration, using depth sensing and computer vision to map the environment, identify horizontal planes, and dynamically adjust the play area to maximize space while ensuring safety, with features like center positioning and object detection to prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual configuration of play area is used, then user can define custom boundaries, but the boundaries become irregular and suboptimal in space utilization
Solution Approach 1:
The system automatically adjusts play area parameters (boundaries, size, shape) based on environmental scanning data, transitioning from fixed manual parameters to dynamically optimized parameters that maximize space utilization while maintaining safety
Solution Approach 2:
The VR system performs self-configuration by automatically scanning the environment with depth sensors and cameras, then autonomously defining the play area boundaries without requiring manual user input, thereby optimizing space utilization
2Ease of operation
If manual configuration method is used, then setup process is simple, but safety monitoring and obstruction detection are insufficient
Solution Approach 1:
The system performs preliminary environmental scanning and play area configuration automatically before the user begins VR activities, establishing safety boundaries and obstruction detection capabilities in advance without requiring complex manual setup
Solution Approach 2:
The patent replaces manual mechanical configuration (drawing boundaries with controllers) with automated optical and depth sensing systems that use computer vision and LiDAR technology to detect obstructions and define play areas, enhancing safety while maintaining ease of use
3Device complexity
If depth sensing (LiDAR) is not used, then device complexity is reduced, but spatial awareness and obstruction detection capability are inadequate
Solution Approach 1:
The system merges multiple sensing modalities (cameras for visual features, depth sensors for distance measurement, inertial sensors for motion tracking) into an integrated spatial awareness system, achieving accurate obstruction detection through sensor fusion rather than relying on a single complex LiDAR system
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables automatic, efficient, and safe VR play area setup, maximizing user movement and reducing physical harm risks by dynamically adapting to the environment and detecting potential hazards.
Implementation Method 1
The HMD performs time-of-flight/LiDAR/depth sensing measurements in the vicinity of the user in all directions
Implementation Method 2
The system augments the depth sensing measurements with data acquired or captured by optical sensors/cameras that identify features in the environment
Data Source
AI summary
A virtual reality play area is defined. Movement of an object in the vicinity of the play area may then be detected. Based on the movement of the object, it may be determined whether the object is projected to enter the play area. If the object is projected to enter the play area, a representation of the object is generated for display to the user.


