Image-Coupled Sensor Sharing for Bandwidth-Efficient Driving Alerts
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Solution Overview
Problem
Existing wireless communication systems, particularly 5G NR, lack efficient methods for sharing sensor data among devices to enhance vehicle driving assistance systems, leading to suboptimal traffic management and safety alerts.
Innovation Solution
A method and apparatus are provided to enable sensor-sharing among wireless devices, including UEs and base stations, to detect and transmit object location, motion, and orientation data, which are then processed to provide pedestrian alerts, vehicle alerts, and traffic management information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor data is shared among wireless devices to enhance driving assistance, then safety alert accuracy and traffic management quality improve, but network bandwidth consumption and data transmission complexity increase
Solution Approach 1:
The system extracts only the most critical sensor data elements (location, motion, orientation of detected objects) for sharing among wireless devices, rather than transmitting complete sensor datasets. This selective extraction reduces network bandwidth consumption while maintaining the reliability needed for safety alerts and traffic management.
Solution Approach 2:
Sensor data is segmented into essential components (object location, motion, orientation) and transmitted separately through the wireless communication system. This segmentation allows receiving devices to process only relevant portions of the data, reducing overall network bandwidth requirements while preserving alert accuracy.
2Reliability
If multiple wireless devices share sensor data for cloud-based driving assistance, then driving assistance quality improves, but system complexity and data processing requirements increase
Solution Approach 1:
The sensor sharing system is designed with universal data formats and protocols that can be used by multiple types of wireless devices (vehicles, infrastructure, pedestrians) for different driving assistance functions. This multi-functionality reduces the need for device-specific processing logic, thereby reducing overall system complexity while maintaining high driving assistance quality.
3Measurement precision
If reference data is captured and transmitted along with sensor information, then object detection accuracy improves, but data transmission volume and processing load increase
Solution Approach 1:
The system transmits reference data selectively based on detection confidence thresholds and object priority levels. Only partial reference data (when needed for specific objects or conditions) is captured and transmitted, rather than always transmitting complete reference datasets. This partial action maintains object detection accuracy for critical cases while reducing overall data transmission volume.
Data Source
AI summary
An apparatus may be configured to detect, via at least one sensor of the apparatus, a first object and to capture at least one set of reference data associated with the detected first object. The apparatus may further be configured to transmit, to at least one second wireless device, information regarding the detected first object and the at least one set of reference data associated with the detected first object. The apparatus may also be configured to receive, from another wireless device, information regarding the detected first object and at least one set of reference data associated with the detected first object and to update, based on the received information regarding the detected first object and the at least one set of reference data associated with the detected first object, at least one of the location, the motion, or the orientation of the detected first object.