3D Planar Region Analysis for Autonomous Driving Object Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current autonomous driving technologies face challenges in accurately distinguishing real objects from images displayed on other objects, leading to potential incorrect driving operations, as they lack effective methods to determine the number of planar regions constituting an object in a 3D coordinate system.
Innovation Solution
An electronic apparatus equipped with sensors and a processor that captures surrounding images, determines the number of planar regions of objects using 3D coordinate information, and controls driving operations based on whether the object is a real entity or an image, thereby differentiating real objects from images displayed on other objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If autonomous driving systems use image recognition to detect objects, then they can identify potential obstacles, but they cannot distinguish real objects from images displayed on other objects
Solution Approach 1:
The patent transitions from 2D image recognition to 3D spatial analysis by obtaining three-dimensional coordinate information for detected objects. The processor determines the number of planar regions constituting each object based on 3D coordinates, enabling differentiation between real objects (multiple planar regions) and images (single planar region). This dimensional enhancement resolves the ambiguity in object identification.
2Productivity
If the system treats all detected objects as real objects, then it can respond to all potential hazards, but it may perform incorrect driving operations due to misidentifying images as real objects
Solution Approach 1:
The patent segments the detection process into distinct stages: initial object detection, 3D coordinate acquisition, planar region analysis, and final verification. By dividing the detection workflow, the system can quickly identify potential objects while systematically verifying their authenticity through 3D spatial characteristics, preventing incorrect responses to images.
3Device complexity
If the system uses only 2D image data for object detection, then the processing is simple and fast, but it lacks the capability to determine the number of planar regions constituting an object
Solution Approach 1:
The patent enhances the detection system by incorporating 3D coordinate information acquisition and planar region analysis capabilities. The processor obtains three-dimensional coordinates for detected objects and determines the number of planar regions they constitute, transforming 2D image data into 3D spatial understanding without excessive complexity increase.
Data Source
AI summary
An electronic apparatus and method for assisting with driving of a vehicle are provided. The electronic apparatus includes: a processor configured to execute one or more instructions stored in a memory, to: obtain a surrounding image of the vehicle via at least one sensor, recognize an object from the obtained surrounding image, obtain three-dimensional (3D) coordinate information for the object by using the at least one sensor, determine a number of planar regions constituting the object, based on the 3D coordinate information corresponding to the object, determine whether the object is a real object, based on the number of planar regions constituting the object, and control a driving operation of the vehicle based on a result of the determining whether the object is the real object.