Collective Perception Messages for Faster Safety-Critical Object Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current Cooperative Intelligent Transport Systems (C-ITS) face challenges with latency in generating Collective Perception Messages (CPMs) and imprecise Decentralized Environmental Notification Messages (DENMs, which can lead to delayed and inaccurate identification of safety-critical situations, especially in dense areas, affecting the efficiency and safety of communication within intelligent transport systems.
Innovation Solution
The proposed method enhances CPMs by including references to objects involved in specific situations, with safety-critical objects prioritized for inclusion, reducing latency and improving situation awareness by associating perceived objects with situations, and optionally incorporating predicted data and grouping information to link objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all detected objects are included in CPMs with periodic transmission, then comprehensive situation awareness is achieved, but latency increases and safety-critical situations are delayed
Solution Approach 1:
The patent applies local quality by differentiating the treatment of objects based on their safety criticality. Safety-critical objects (those involved in collision risks, pedestrian interactions, or traffic rule violations) are prioritized for immediate inclusion in CPMs with reduced latency, while non-critical objects follow the standard periodic transmission schedule. This selective approach ensures that information about dangerous situations is transmitted without delay, while maintaining overall system efficiency.
Solution Approach 2:
The patent segments the set of all detected objects into distinct categories: safety-critical objects and non-critical objects. This segmentation allows the system to apply different transmission strategies to different subsets of objects, enabling urgent safety-related information to be communicated immediately while non-urgent information follows the regular periodic schedule, thus resolving the contradiction between comprehensive awareness and latency.
2Measurement precision
If CPMs include detailed information about all objects, then accurate situation analysis is improved, but message size and processing complexity increase
Solution Approach 1:
The patent extracts and prioritizes only the most relevant information for safety-critical objects in CPMs. Rather than including equal detail for all objects, the system identifies safety-critical objects and includes their specific situation-related data (such as collision risk indicators, pedestrian interaction status, or traffic rule violation information) while reducing or omitting less critical details for non-safety objects. This extraction approach maintains high situation analysis accuracy for dangerous scenarios while reducing overall message complexity.
3Loss of time
If CPM transmission frequency is increased to reduce latency, then safety response time is improved, but network bandwidth consumption increases
Solution Approach 1:
The patent implements dynamic transmission frequency adjustment based on the detected situation. When safety-critical objects are identified, the system temporarily increases CPM transmission frequency to ensure rapid communication of urgent information. When no safety-critical situations are present, the system reverts to the standard periodic transmission schedule. This dynamic adaptation allows the system to optimize safety response time only when necessary, thereby conserving network bandwidth during normal operating conditions.
Data Source
AI summary
The present invention regards Cooperative Intelligent Transportation Systems, C-ITS. In response to detecting at least one situation involving at least one object detected within an area monitored by the ITS, a Collective Perception Message, CPM, is generated and transmitted. The CPM comprises a reference to the at least one object and an indication to indicate that the at least one object is involved in the at least one situation.