18582745. COOPERATIVE INTELLIGENT TRANSPORT SYSTEM AND METHOD WITH CPM SIGNIFICANCE INDEX FOR REDUNDANCY MITIGATION simplified abstract (DENSO CORPORATION)
Contents
- 1 COOPERATIVE INTELLIGENT TRANSPORT SYSTEM AND METHOD WITH CPM SIGNIFICANCE INDEX FOR REDUNDANCY MITIGATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 COOPERATIVE INTELLIGENT TRANSPORT SYSTEM AND METHOD WITH CPM SIGNIFICANCE INDEX FOR REDUNDANCY MITIGATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about the Technology
- 1.13 Original Abstract Submitted
COOPERATIVE INTELLIGENT TRANSPORT SYSTEM AND METHOD WITH CPM SIGNIFICANCE INDEX FOR REDUNDANCY MITIGATION
Organization Name
Inventor(s)
Tim Leinmueller of Eching DE (US)
Prachi Mittal of Eching DE (US)
COOPERATIVE INTELLIGENT TRANSPORT SYSTEM AND METHOD WITH CPM SIGNIFICANCE INDEX FOR REDUNDANCY MITIGATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18582745 titled 'COOPERATIVE INTELLIGENT TRANSPORT SYSTEM AND METHOD WITH CPM SIGNIFICANCE INDEX FOR REDUNDANCY MITIGATION
Simplified Explanation
The patent application describes a method for exchanging information between stations in an intelligent transport system using wireless communication. It involves detecting objects, collecting data about them, calculating message significance, and transmitting messages based on available resources.
- Detect multiple objects using sensors or shared messages.
- Collect object data and create collective perception messages.
- Calculate message significance index for each message.
- Determine available channel resources.
- Transmit messages based on significance index and resource availability.
Key Features and Innovation
- Utilizes wireless communication for information exchange in intelligent transport systems. - Detects multiple objects and gathers data efficiently. - Prioritizes message transmission based on significance index and channel resources.
Potential Applications
- Intelligent transportation systems. - Traffic management. - Vehicle-to-vehicle communication.
Problems Solved
- Efficient information exchange in cooperative intelligent transport systems. - Prioritization of messages for optimal communication.
Benefits
- Enhanced communication between stations. - Improved traffic flow and safety. - Resource-efficient message transmission.
Commercial Applications
Title: "Efficient Information Exchange System for Intelligent Transport" This technology can be applied in smart cities, transportation companies, and automotive industries to optimize communication and enhance overall system efficiency.
Prior Art
Readers can explore prior patents related to wireless communication in intelligent transport systems, object detection technologies, and message prioritization algorithms.
Frequently Updated Research
Stay updated on advancements in wireless communication protocols, sensor technologies, and intelligent transport system algorithms for potential improvements in this method.
Questions about the Technology
How does this method improve communication efficiency in intelligent transport systems?
This method enhances communication efficiency by prioritizing messages based on significance index and available channel resources, ensuring timely and relevant information exchange.
What are the potential implications of this technology in smart city development?
This technology can revolutionize smart city development by enabling seamless communication between various transportation entities, leading to improved traffic management and overall urban efficiency.
Original Abstract Submitted
A method of exchanging information between stations in a cooperative intelligent transport system uses a wireless communication channel. The method includes: detecting multiple objects present within a field of view of at least one sensor provided at a respective station or included in a shared message received from another station as being present in the vicinity of the station; obtaining object data of each detected object from said at least one sensor and/or said shared message; filling a collective perception message with object data of the objects; calculating a collective perception message significance index for each collective perception message filled with object data; determining available channel resources of said wireless communication channel; and transmitting collective perception messages in accordance with the available channel resources starting with a collective perception message with the highest collective perception message significance index.
