WO2021186387A1 - A method and system for detecting road anomalies - Google Patents
A method and system for detecting road anomalies Download PDFInfo
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- WO2021186387A1 WO2021186387A1 PCT/IB2021/052277 IB2021052277W WO2021186387A1 WO 2021186387 A1 WO2021186387 A1 WO 2021186387A1 IB 2021052277 W IB2021052277 W IB 2021052277W WO 2021186387 A1 WO2021186387 A1 WO 2021186387A1
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- road
- data
- anomalies
- gps
- anomaly
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Classifications
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
- G07C5/0866—Registering performance data using electronic data carriers the electronic data carrier being a digital video recorder in combination with video camera
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
- B60W40/06—Road conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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- G—PHYSICS
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
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- G—PHYSICS
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/09626—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages where the origin of the information is within the own vehicle, e.g. a local storage device, digital map
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
- G08G1/096716—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information does not generate an automatic action on the vehicle control
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096733—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
- G08G1/096758—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place where no selection takes place on the transmitted or the received information
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- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096775—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a central station
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
- B60W2420/40—Photo, light or radio wave sensitive means, e.g. infrared sensors
- B60W2420/403—Image sensing, e.g. optical camera
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- B—PERFORMING OPERATIONS; TRANSPORTING
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- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2556/00—Input parameters relating to data
- B60W2556/45—External transmission of data to or from the vehicle
- B60W2556/50—External transmission of data to or from the vehicle of positioning data, e.g. GPS [Global Positioning System] data
Definitions
- the present invention relates to transportation management information system. More particularly, it relates to a system and method to maintain the heavily travelled roadways.
- Road anomaly may be defined as misalignment in the road surface due to any cut or crack in the road due to cable laying or any pothole due to improper water drainage or some bump or uneven level due to manhole cover which leads to sudden braking or turning of the vehicle as soon as driver tries to negotiate the anomaly or sometimes if the driver is not able to negotiate then it leads sudden jerk in the vehicle.
- the road condition detection system is provided for capturing data indicative of road conditions and analyzing the captured data to locate and identify various road conditions (e.g., road hazards, such as potholes, or weather conditions, such as ice).
- the road condition detection system includes a road condition sensor array configured for being attached to a vehicle and for capturing road condition data.
- the captured data may be transmitted and assessed by a server configured for identifying potential road hazards or other road conditions based on the road condition data captured by the sensor array.
- the prior art discloses a system based on laser and vibration sensors. The system however, does not detect the severity of the road condition.
- Another USA patent US20180068495A1 discloses a method of detecting and identifying road surface defects.
- Motion and position information is received from a plurality of vehicles.
- a profile is retrieved for a particular vehicle from a database of vehicle profiles by using an identifier of the particular vehicle.
- One or more criteria are identified for detecting a particular type of road surface defect based on the retrieved profile of the particular vehicle.
- a detection of a road surface defect of the particular type and a location associated with the detected road surface defect based on the received position information is reported.
- the prior art discloses method of detecting the road conditions using motion sensors and accelerometer.
- the method disclosed in prior art is cost intensive as multiple vehicle types and their sensor data has to be correlated based on their weight, tyre size, dimensions etc.
- the primary objective of the present invention is to provide a method and system to give prior warning to the subscribed driver or user for upcoming road issues.
- Another objective of the present invention is to provide a cost-effective method and system for better surveillance of road condition.
- Yet another objective of the present invention is to automate the measurement of road condition.
- Yet another objective of present invention is to provide safe driving assistance to its subscribed users.
- Another objective of the present invention is to provide a proactive system and a method to report road anomalies regularly.
- Yet another objective of the present invention is to provide a method and for periodic tracking of the road conditions which may help in accessing the quality of re carpeting or patch work done.
- the present invention proposes a system for tracking the road anomalies through a dashcam mounted on plurality of vehicles.
- the method and system maps and identifies the road anomalies by analyzing the video of road conditions and classify the road anomalies by earmarking the road anomalies into potholes, bumps, cracks, etc.
- Figure 1 illustrates the layout of various components of the system for detecting the road anomalies.
- Figures 2(a) and 2(b) illustrates the functioning of data capturing unit for detecting road anomalies.
- Figures 3(a), 3(b), 3(c) and 3(d) illustrate the process of classification of road anomalies and mapping of road anomalies on to a web mapping service application.
- Figures 4, 5 and 6 illustrates the process of publishing of road anomalies to users.
- Fig. 1 shows system for detecting road anomalies.
- the various components of the system for detecting road anomalies are data capturing unit (100), data recording unit (200), data processing unit (300), data mapping unit (400) and data publishing unit (500).
- - Data Capturing and Data Recording Unit may comprise a High Definition dash board camera mounted on top of a vehicle, which is driven at a speed of 20-30 km /hour at a pre-decided route set by the user.
- the dashboard camera may be mounted on front or back of the vehicle, pointing towards the road surface to capture video of the road surface.
- the camera continuously records the road conditions through its lenses, covering a 130-degree view.
- the cameras provide a high definition view of the road surface and simultaneously the GPS data is recorded by the GPS data recording unit (200). Once the survey is done by the camera, the camera footage and GPS log files (.GPX) are downloaded to a central computer to compute the same.
- - Data Processing Unit (300) may comprise of the central system to process the raw videos and identify and classify the road anomalies based on training dataset of the road anomalies. This process also helps in classifying the severity of the road anomaly data and notifying the road authorities and subscribed drivers in case of potential issues. This process also gets the input of the GPS data like the deceleration in speed at a particular spot or patch of the road.
- - Data Mapping and Publishing Unit may comprise the geographical mapping of road anomalies, creation of anomalies database and its updation based on road survey conducted, plotting of the road anomalies on any available web mapping service based on the route selected by the drivers along with the name of the roads featuring distress spots and suggesting alternate route with their anomalies information. Further, the report generates a map plotting the exact spots of road distress with color coding based on severity of road anomalies on the web map and create a heat map to show the concentration of road anomalies in the area or zone. This helps both the road authorities to take necessary actions on preventive maintenance and the subscribed drivers take the conscious decision on choosing the appropriate route.
- Fig. 2(a) and 2(b) illustrate the functioning of data capturing unit (100) for detecting the road anomalies.
- the data capturing unit (100) comprises a dashboard camera (Dashcam), a Global Positioning System (GPS) and a storage device.
- the Dashcam is a video camera with high definition 1080p, 130 degree viewing angle covering all lanes of the road, Wide Dynamic range (WDR) function which adjusts according to the ambient light, built in G-sensor for image stabilization in case of shock or jerk.
- the Dash cam may be but not limited to, Akaso dash cam C330. Dashcam records the videos of the roads to analyses the road anomalies.
- dashboard camera and GPS may be combined.
- Dashboard camera may pair with a communication device through available network to transfer data to the mobile application. Afterwards, the data from mobile application can be transferred to central server through any network. Alternatively, the data may be physically transferred to central server via storage device such as Secure Digital (SD) card.
- SD Secure Digital
- the GPS data recording unit (200) or a GPS logger is a device which is used to capture the GPS co-ordinates and create a stream of it so that once the whole route is recorded the data can be used to trace the vehicle’s path on the map, the date time stamp and the speed at which the vehicle has traversed the route.
- the GPS logger may comprise of GPS receiver, a processing and storage unit.
- U-blox7 GPS Receiver a Raspberry PI model 4 B and 16 GB SD card for recording the stream of GPS co-ordinates are used.
- the data recorded from GPS logger is stored as .GPX file. With every track being recorded as a .GPX file it is easy to play it in GPX player software which plays the recorded location position along with date time stamp and the speed.
- the captured .GPX files can be uploaded from Raspberry PI to central server through SSH protocol in a secure manner for processing at the central server.
- the GPS logger will help create a trace of the route travelled by the vehicle used for road survey.
- the GPS co ordinates of potholes and patches are identified and mapped to identify the accurate position of road issues.
- the data capturing unit (100) installed on plurality of vehicles to capture the video and GPS data.
- Vehicles may be but not limited to, any utility vehicle deployed by municipal committees, personal cars, or commercial vehicles such as trucks, buses etc. but preferably plying during the less traffic time in the morning when shadows are less prevalent.
- Fig. 3(a), 3(b), 3(c) and 3(d) illustrate the process of classification of road anomalies and mapping of road anomalies on to a web mapping service application.
- the central server is a high end desktop machine which process the data captured by data capturing unit (100).
- a desktop machine with Intel G7 processor, Nvidia GPU, atleast 16-32 GB RAM, 512 SSD is used.
- the central server runs an Artificial Intelligence based algorithm to identify the road anomaly based on the trained dataset of road anomalies. Training data set categorize anomalies in different categories such as potholes, cracks, scrapped road, bumps, misalignments of manhole covers and frames. Further, the server classify the quality of roads as fair, bad or worse and determine the right speed to cross over the anomalies based on recent driver experience.
- the video is processed through the data processing unit (300) to detect the road anomalies.
- image frames are recorded having bounding box corresponding to the detected anomalies along with date and time stamp.
- a bounding box is an imaginary box to demarcate the objects from their surroundings. In digital image processing, the bounding box is merely the coordinates of the rectangular border that fully encloses a digital image when it is placed over a page, a canvas, a screen or other similar bi-dimensional background.
- the road anomaly is classified into fair (yellow), bad (amber) or worse (red). If there are multiple road anomalies in the particular stretch of the road the whole patch may be marked as bad or worse.
- the data mapping unit (400) classifies and labels the road condition by creating a map of road including road anomalies and provide the average deceleration in speed to negotiate the road anomaly. While the driver sees the different routes on the map for reaching the destination the driver may also choose to select the route which has less road anomalies.
- Step 1 Installation of the dashboard camera and GPS logger in the vehicle.
- Step 2 Starting the dashboard camera and GPS logger simultaneously when the vehicle starts surveying the road.
- Step 3 Dashboard camera will record the road condition and GPS logger will start capturing the distance covered, time taken and speed at each point and creates GPS log file (.GPX file).
- Step 4 The data captured through dashboard camera and GPS logger is stored in separate local storage device.
- Step 5 The Data stored in the local storage device is transferred to data processing unit (300).
- Step 6 The video is processed through the data processing unit (300) to detect the road anomalies and create a bounding box and capture the image frame along date and time stamp.
- Step 7 The data timestamp of image obtained from the (.GPX file) with road anomaly is compared with the corresponding time stamp through GPS logger and the GPS co-ordinates of the road anomalies based on corresponding GPS time stamp are determined.
- Step 8 The road anomaly is further geotagged as red or amber or yellow to bring to the attention of the user about the condition and severity of the anomaly on web mapping application using the GPS coordinates which will show up as pin on map.
- Step 9 The said user can click on the pin to see the actual image of the road anomaly with the date time stamp. User will be able to see the severity of the anomaly and average speed for the patch based on drivers travelling at off peak hours.
- SteplO There might be a date time stamp based and area wise heat map created to segregate the different areas where there are more anomalies as compared to other areas.
- Step 1 to 5 facilitate the data capturing of required data.
- Step 6-7 is related to the process of detecting of road anomalies.
- Step 8 is based on mapping of road anomalies on the web mapping service application.
- Steps 9-10 are facilitating the publishing of road anomalies to be detected by the users.
- the severity of the road anomaly is classified based on correlation of the video of the road labelled through data mapping system, exact geotagging of the location and average decelaration of speed during off peak traffic on the same spot.
- FIG. 4, 5 and 6 illustrate the process of publishing of road anomalies to users.
- a) Process for visualization of the road conditions based on specific area includes:
- System downloads the road anomalies data for the route from the current database of road anomalies and shows it visually to the subscribed driver on web mapping service application.
- the method of publishing the information about upcoming road anomalies may give visual and audio alert to subscribed user in case the driver is at higher speed then prescribed speed for the respective patch.
- the present invention uses a dashcam a specialized camera having wide angle of 130 degree, G sensor for image stabilization for capturing road conditions and subsequent video analysis through AI algorithm for detecting and classifying the road conditions and correlating with the data on deceleration in speed from multitude of vehicles at the same spot on the road irrespective of traffic condition and other adverse conditions for further classifying the road conditions.
- the present invention does all the processing centrally and focuses on analysis of pothole and road surface anomalies.
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Priority Applications (2)
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CA3172300A CA3172300A1 (en) | 2020-03-19 | 2021-03-18 | A method and system for detecting road anomalies |
AU2021239055A AU2021239055A1 (en) | 2020-03-19 | 2021-03-18 | A method and system for detecting road anomalies |
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IN202011011938 | 2020-03-19 | ||
IN202011011938 | 2020-03-19 |
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PCT/IB2021/052277 WO2021186387A1 (en) | 2020-03-19 | 2021-03-18 | A method and system for detecting road anomalies |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115573230A (en) * | 2022-12-09 | 2023-01-06 | 山东同陆云信息科技有限公司 | Intelligent maintenance prediction system and method based on big data |
CN117455121A (en) * | 2023-12-19 | 2024-01-26 | 广东申创光电科技有限公司 | Information management method and system for intelligent road |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
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US20190135283A1 (en) * | 2017-11-07 | 2019-05-09 | Uber Technologies, Inc. | Road anomaly detection for autonomous vehicle |
US10328934B2 (en) * | 2017-03-20 | 2019-06-25 | GM Global Technology Operations LLC | Temporal data associations for operating autonomous vehicles |
-
2021
- 2021-03-18 CA CA3172300A patent/CA3172300A1/en active Pending
- 2021-03-18 AU AU2021239055A patent/AU2021239055A1/en active Pending
- 2021-03-18 WO PCT/IB2021/052277 patent/WO2021186387A1/en active Application Filing
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10328934B2 (en) * | 2017-03-20 | 2019-06-25 | GM Global Technology Operations LLC | Temporal data associations for operating autonomous vehicles |
US20190135283A1 (en) * | 2017-11-07 | 2019-05-09 | Uber Technologies, Inc. | Road anomaly detection for autonomous vehicle |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115573230A (en) * | 2022-12-09 | 2023-01-06 | 山东同陆云信息科技有限公司 | Intelligent maintenance prediction system and method based on big data |
CN117455121A (en) * | 2023-12-19 | 2024-01-26 | 广东申创光电科技有限公司 | Information management method and system for intelligent road |
CN117455121B (en) * | 2023-12-19 | 2024-04-02 | 广东申创光电科技有限公司 | Information management method and system for intelligent road |
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AU2021239055A1 (en) | 2022-11-10 |
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