2D Distribution Map for Efficient 3D Object Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional systems require significant calculation to detect continuous three-dimensional objects such as side walls, guardrails, and shrubberies on roads, which hinders efficient object recognition and collision avoidance in automotive applications.
Innovation Solution
A processing device with a generating unit, detecting unit, and determining unit that generates two-dimensional distribution information associating lateral and depth direction distances, detects continuous areas in the depth direction, and determines whether these areas represent continuous three-dimensional objects, enabling efficient detection of road boundaries and other objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional three-dimensional object detection methods are used, then detection accuracy is maintained, but computational complexity and processing time increase significantly
Solution Approach 1:
The patent transforms three-dimensional object detection into two-dimensional distribution information detection. By projecting 3D spatial coordinates (x, y, z) into a 2D distribution map where pixel positions represent lateral and depth direction distances, the system detects continuous areas in 2D space that correspond to continuous 3D objects. This dimensional reduction significantly decreases computational complexity while preserving detection accuracy.
Solution Approach 2:
The patent segments the detection process into distinct functional units: a generating unit that creates two-dimensional distribution information from detection data, a detecting unit that identifies continuous areas in the 2D distribution, and a determining unit that validates whether these areas represent continuous three-dimensional objects. This segmentation allows each unit to perform its specific function efficiently, improving overall detection speed.
2Measurement precision
If comprehensive object detection is performed, then recognition accuracy improves, but processing time increases
Solution Approach 1:
By representing three-dimensional object distribution as two-dimensional information where the horizontal axis represents lateral direction distance and the vertical axis represents depth direction distance, the patent enables parallel processing of spatial relationships. Continuous areas in this 2D distribution can be detected simultaneously across the entire field of view, maintaining high recognition accuracy while reducing processing time compared to sequential 3D analysis.
Data Source
AI summary
According to an embodiment, a processing device includes a generating unit, a detecting unit, and a determining unit. The generating unit is configured to generate two-dimensional distribution information of an object, the two-dimensional distribution information associating between at least a lateral direction distance and a depth direction distance of the object. The detecting unit is configured to detect a continuous area having continuity in a depth direction in the two-dimensional distribution information. The determining unit is configured to determine whether the continuous area represents a detection target.