IP Library › Granted Patent US 12,542,052
Granted Patent B2
US 12,542,052 · App. 18/027,658 · Granted Feb 3, 2026

Method and apparatus for generating an accident information graph

Inventors: Athanasios Karapantelakis (Solna, SE); Maxim Teslenko (Sollentuna, SE); Marios Daoutis (Bromma, SE); Elena Fersman (Palo Alto, CA)
Assignee: Telefonaktiebolaget LM Ericsson (publ)
G08G1/0112G08B25/006G08G1/0133
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,542,052
App. No.
18/027,658
Filed
Mar 22, 2023
Granted
Feb 3, 2026
Kind
B2
Art Unit
3669
USPC
701/117
Abstract

A coordination node ( 1000 ) is disclosed for coordinating generation of an accident information graph comprising information representative of a vehicle accident environment. The coordination node comprises processing circuitry ( 1010 ) configured to detect an event associated with occurrence of a vehicle accident ( 110 ) and obtain environment data representative of the vehicle accident environment in which the event was detected ( 120 ). The processing circuitry is further configured to generate an accident information graph based on the obtained environment data, wherein the accident information graph comprises a structured representation of the obtained environment data and at least one semantic annotation to the obtained environment data ( 130 ).

Claims (34)

1 . An apparatus comprising:

one or more communication interfaces; and

processing circuitry operatively associated with the one or more communication interfaces and configured to:

exchange signaling with one or more other apparatuses that are within a geographical vicinity of a detected event that is associated with occurrence of a vehicle accident, including:

carrying out an election process whereby the apparatus is elected as a coordinating node and the one or more other apparatuses serve as data gathering nodes with respect to a vehicle accident environment in which the event was detected; and

acting as the coordinating node, based on receiving environment data from the data gathering nodes, the environment data representative of the vehicle accident environment and including sensor data obtained from sensors in the data gathering nodes

generate an accident information graph as a structured representation of the received environment data, including processing the received environment data and adding semantic annotations based on results of the processing; and

transmit the accident information graph to an emergency authority.

2 . A method performed by an apparatus, the method comprising:

exchanging signaling with one or more other apparatuses that are within a geographical vicinity of a detected event that is associated with occurrence of a vehicle accident, including:

carrying out a leader election process whereby the apparatus is elected as a coordinating node and the one or more other apparatuses serve as data gathering nodes with respect to a vehicle accident environment in which the event was detected; and

acting as the coordinating node, based on receiving environment data from the data gathering nodes, the environment data representative of the vehicle accident environment and including sensor data from sensors in the data gathering nodes;

generating an accident information graph as a structured representation the received environment data, including processing the received environment data and adding semantic annotations based on results of the processing; and

transmitting the accident information graph to an emergency authority.

3 . The method according to claim 2 , further comprising:

starting a timer upon in association with the event detection; and

transmitting the accident information graph upon expiry of the timer.

4 . The method according to claim 3 , further comprising setting a duration of the timer according to an estimated severity of the vehicle accident.

5 . The method according to claim 4 , wherein acting as the coordinating node based on receiving the environment data comprises using the duration of the timer as a window for gathering environment data from the data gathering nodes, and wherein generating the accident information graph comprises basing the accident information graph on all environment data gathered during the window.

6 . The method according to claim 2 , wherein the environment data includes video data from one or more of the data gathering nodes, and wherein generating the accident information graph includes performing object recognition on the video data via a convolutional neural network trained for identifying objects or entities, and wherein adding the semantic annotations includes adding object labels for objects recognized in the video data.

7 . The method according to claim 2 , wherein carrying out the leader election process comprises the apparatus exchanging information with the one or more other apparatuses, each respective apparatus involved in the exchange indicating one or more factors bearing on suitability of the respective apparatus for leader election, the one or more factors including at least one of: available computational capacity of the respective apparatus, and whether the respective apparatus is moving.

8 . The method according to claim 7 , further comprising the apparatus initiating the leader election process based on detecting the event.

9 . The method according to claim 4 , wherein the one or more other apparatuses comprise any ones or any mix of:

a Radio Access node of a communication network;

a communication node associated with a vehicle; and

a communication node associated with an item of roadside infrastructure.

10 . The method according to claim 2 , further comprising transmitting requests for the environment data and receiving the environment data responsive to the requests.

11 . The method according to claim 2 , further comprising:

anonymising the environment data; and

generating the accident information graph based on the anonymised environment data.

12 . The method according to claim 2 , wherein the apparatus acting as the coordination node comprises one of:

a Radio Access node of a communication network;

a communication node associated with a vehicle;

a communication node associated with an item of roadside infrastructure.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 22, 2023
From: KARAPANTELAKIS, ATHANASIOS; TESLENKO, MAXIM; DAOUTIS, MARIOS; FERSMAN, ELENA
To: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
Reel/Frame 063055/0360 →
Continuity (1)
Related Publication 20230377455A1 · Nov 23, 2023
References Cited (23)
US 8160764B2 · Choi et al. · 2012 [cited by applicant]
US 9852636B2 · Chow et al. · 2017 [cited by applicant]
US 10559202B2 · Yang · 2020 [cited by examiner]
US 11417128B2 · Law · 2022 [cited by examiner]
US 11620862B1 · Serrao · 2023 [cited by examiner]
US 20090105902A1 · Choi et al. · 2009 [cited by applicant]
US 20130311641A1 · Chow et al. · 2013 [cited by applicant]
US 20150112504A1 · Binion · 2015 [cited by examiner]
US 20150127570A1 · Doughty · 2015 [cited by examiner]
US 20160189310A1 · O'Kane · 2016 [cited by examiner]
US 20180122237A1 · Nascimento · 2018 [cited by examiner]
US 20190034716A1 · Kamarol et al. · 2019 [cited by applicant]
US 20190197369A1 · Law et al. · 2019 [cited by applicant]
US 20200226921A1 · Higuchi et al. · 2020 [cited by applicant]
EP 3681132A1 · 2020 [cited by applicant]
“Ford Technology—Driver Assistance Systems”, https://www.ford.co.uk/shop/research/technology/driving-experience/ford-sync-with-emergencyassistance, 12 pages. [cited by applicant]
“Intelligent transport systems—Cooperative systems—Data exchange specification for in-vehicle presentation of external road and traffic related data”, CEN/TC 278—Intelligent Transport Systems, Technical Work, Reference … [cited by applicant]
“Intelligent transport systems—Framework for cooperative telematics applications for regulated commercial freight vehicles (TARV)—Part 10: Emergency messaging system/eCall”, ISO/TC 204, Intelligent transport systems, 15… [cited by applicant]
“Intelligent Transport Systems (ITS); ITS-G5 Access layer specification for Intelligent Transport Systems operating in the 5 GHz frequency band”, Final draft ETSI EN 302 663 V1.3.1, Oct. 2019, 25 pages. [cited by applicant]
“Welcome To OnStar; Safety When & Where You Need It”, OnStar, 2 pages. [cited by applicant]
Grivanova, O V, et al., “GLONASS technologies as innovative development ofroad transport: social and economic impact”, IOP Conference Series: Materials Science and Engineering, vol. 632, International Conference on Inno… [cited by applicant]
Klotz, Benjamin , et al., “VSSo: a Vehicle Signal and Attribute Ontology for the Web of Things”, 9th International Semantic Sensor Networks WorkshopAt: Monterey, CA, USA, Oct. 2018, 20 pages. [cited by applicant]
Shayeji, Mohammad H. Al, “Analysis and Enhancements of Leader Elections algorithms in Mobile Ad Hoc Networks”, XP055695965, https://arxiv.org/ftp/arxiv/papers/1210/1210.1686.pdf, Oct. 5, 2012, 5 pages. [cited by applicant]