Unified Bitstream Encoding and Decoding for Object Detection
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Solution Overview
Problem
Existing autonomous travelling devices face challenges in safely navigating complex environments due to limitations in real-time monitoring and processing of image and sensor data, requiring human operator intervention.
Innovation Solution
A decoder and encoder system that processes image and real-space detection information into a bitstream, enabling effective utilization of image and real-space detection information for improved collision avoidance and decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If autonomous travelling device uses only image data from imaging unit for object detection, then device complexity is reduced, but measurement precision and reliability of object detection deteriorate
Solution Approach 1:
The patent combines multiple detection systems (imaging unit for 2D image data and detection unit for 3D real-space data) into a unified detection framework. The decoding device integrates both image detection information and real space detection information to create a comprehensive object detection system that leverages the strengths of each individual system while compensating for their weaknesses.
Solution Approach 2:
The patent transitions from 2D image-based detection to 3D real-space detection by introducing depth information and spatial coordinates. The real space detection information provides three-dimensional position, distance, and spatial relationship data that complements the two-dimensional image data, enabling more accurate object detection and positioning.
2Reliability
If autonomous travelling device processes both image data and real-space sensor data in real-time, then collision avoidance performance is improved, but use of energy and computational load increase
Solution Approach 1:
The patent extracts and transmits only essential detection information (image detection information and real space detection information) rather than processing all raw sensor data. The encoder extracts key features and parameters, and the decoder reconstructs only the necessary information for collision avoidance, reducing computational load and energy consumption while maintaining detection accuracy.
Solution Approach 2:
The patent performs preliminary encoding and compression of detection information at the source (encoder side) before transmission. By pre-processing and structuring the data in advance, the system reduces the computational burden on the decoding side and enables more efficient real-time processing of multiple data streams.
3Loss of information
If autonomous travelling device transmits detailed detection information to external system, then situational awareness is improved, but loss of time for data transmission and processing increases
Solution Approach 1:
The patent transforms detection data into standardized parameters and structured formats (syntax elements) that can be efficiently transmitted and processed. By converting raw detection information into standardized parameters with defined data structures, the system enables rapid decoding and interpretation while preserving essential situational details.
Solution Approach 2:
The patent creates a universal bitstream format that can convey multiple types of detection information (image data, detection results, real-space coordinates) in a unified structure. This multi-functional encoding scheme allows a single transmission channel to carry comprehensive situational awareness data without requiring separate processing paths for different data types.
Data Source
AI summary
A decoder includes circuitry and a memory connected to the circuitry. The circuitry receives a bitstream from an autonomous travelling device including an imaging unit, decodes an image captured by the imaging unit from the bitstream, decodes image detection information that is detection information within the image, regarding an object included in the image, from the bitstream, and decodes real space detection information that is detection information in real space, regarding the object, from the bitstream.