Abstract
Static hazard reporting methods may be inefficient for tracking dynamic, moving hazards, such as cyclists, potentially leading to obsolete alerts. A stateful system can treat a moving hazard as a persistent object with a unique identifier. The system can ingest multi-source kinematic data to periodically update an object's state, for example, its location and speed, as an alternative to repeatedly creating and deleting static pins. Such a system may employ a prediction engine to interpolate movement, a filtering engine to manage alert relevance based on context like speed or road type, and a clustering algorithm to consolidate groups of hazards. This approach can provide a more continuous representation of moving hazards on a computing device (e.g., a smartphone, in-vehicle system, or wearable device), which may facilitate timely warnings to aid in improving situational awareness and road safety.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Spigland, Tom; Eisenberg, Assaf; Tzor, Ziv; and Ram, Avishay, "Stateful System for Predictive Tracking of Dynamic Road Hazards", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/9843