An ImproveOSM editor update

When we first released ImproveOSM, the Telenav initiative to share millions of potential missing road, turn restriction and one-way locations based on massive anonymized GPS signals from drivers, we also launched a custom editor based on iD.

The ImproveOSM editor, based on iD.

The editor provided an easy way to inspect ImproveOSM data and make OSM edits based on it.

Since then, we have worked hard to build out the functionality of the ImproveOSM JOSM plugin, and worked with the iD team to integrate ImproveOSM into the main OSM web editor.

OpenStreetMap’s built-in iD editor with ImproveOSM layer

These developments have made the custom editor obsolete, and we have decided to take it offline.

If you are interested in using ImproveOSM data to edit OpenStreetMap, please check out our JOSM plugin or select the ImproveOSM overlay in iD. You can also download the raw data from our ImproveOSM web site.

Thanks for using ImproveOSM and making OpenStreetMap better!

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US metro OpenStreetCam competition

We decided to celebrate summer and the great driving weather that comes alongside it by launching a new OpenStreetCam competition! If you live in or happen to be nearby Miami, Los Angeles, Houston or Chicago, this is your chance to participate!

The kick-off date is June 12. Buckle up!


Competition guidelines

  • Download the free / open source OpenStreetCam app for Android or iOS.
  • Collect as many OpenStreetCam points as you can until August 12, 23:59 Eastern time. Every image uploaded gets you points, with more points awarded for roads that are being covered for the first time or that have been surveyed infrequently.
  • We will announce the winners on the 13th of August.
  • The top contributors will win an OpenStreetCam enhanced Waylens Horizon dashcam.
  • We will give out one dashcam per city to our top contributors.
  • Two runner ups will receive a $100 Amazon gift card.
  • You need to gather at least 500K points to be eligible to win the dash cam.
  • It costs nothing to compete.
  • Only the points collected between June 12 – August 12 are taken into account.
  • Points collected with Waylens dashcams are not eligible.

If you’re looking for additional insight, refer to the FAQ below:

  • How will I know my rank in the leaderboards?

We will post weekly updates on Facebook and Twitter. Make sure you check them once in while.

  • How can I earn more points?

Go to https://openstreetcam.org and check out where the magenta lines are missing. Those areas will guarantee the highest return. 

  • I’m getting errors trying to install the app, record or upload.

Send us an e-mail at hello@openstreetcam.org and we’ll provide support and troubleshooting ASAP.

  • Does your app provide routing?

No.

  • Can I use an OBD-II dongle?

You sure can, if you have one to spare. It’s going to enable the 2X multiplier per each kilometer collected.

  • Can I record with a dashcam?

Of course, you have our full support, as long as the data is under the form of geotagged JPEGs. You can upload the data collected via our script.

  • I signed up via OSM, how will you contact me?

Please send us a message on Facebook or drop an e-mail at hello@openstreetcam.org.

We reserve the right to disqualify contributors for cheating by uploading useless / blurry / dark images or duplicating existing data from multiple devices on the same account.

Contenders will need to opt in and supply an e-mail address in order for us to contact the winners.

Drive safe!

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OpenStreetCam – Confidence level visualization

The OpenStreetCam plug-in has once again brought a new feature to help its users. It now allows displaying and filtering aggregated detections based on their confidence level. The confidence level represents a measure of confidence of the validity of the detection or aggregated detection.

New aggregated detections display

Aggregated detections can now be displayed using a confidence level based color code. This is an optional behavior that can be turned on in the plug-in preference settings by selecting the following preference:

If selected, each aggregated detection will be displayed with a border of the corresponding color, according to the legend table displayed under the check-box.

Map display based on confidence level:

If the checkbox is not selected, all aggregated detections are displayed with a white border.

Confidence level filtering

With the introduction of the confidence level attribute, a new form of filtering was added. Filter data now allows setting a value for minimum and/or maximum confidence level. When set, only the aggregated detections with the appropriate confidence level will be displayed.

The confidence level minimum and maximum must be values between 0 and 1.
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ImproveOSM plugin – design updates

The latest version of the OpenStreetCam JOSM plugin has many design changes which make the usage more intuitive. The Telenav OSM team added new icons for the three main layers of the ImproveOSM plugin (Turn Restriction, Traffic Flow Direction, Missing Roads) and modified the cluster colors accordingly.

new icons in the layers’ panel
new icons in the menu

Also, some improvements were made regarding the visualization of turn restriction detections at a high zoom level. The color for the grouped detections was changed in order to match the aspect of the corresponding cluster and to facilitate spotting the detections from the map, the turn restriction icon was  changed too.

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OpenStreetCam plug-in – Display OSMElement

A new feature has been added the OpenStreetCam plug-in that allows the visualization of the OSM Elements corresponding to the selected detection or cluster. OSM Elements are the basic components of OpenStreetMap’s conceptual data model of the physical world.

How to use the new feature

The first step is to select a detection or a cluster. If the selected item has OSM Elements, the Matched Data button from the details panel will be enabled.

Detection selected
Aggregated detection selected

By pressing the button, the corresponding OSM element will be drawn in the OpenStreetCam layer and it will persist until selection changes or the item is deselected.

There are three possible cases of display:

  • The element is of type Node:
Nodes are displayed using the JOSM node icon.
  • The element is of type Way:
Ways are displayed as a red line.
  • The element is of type Relation:
“From” element is displayed as a green line
“Via” element is displayed as a blue line
“To” element is displayed as a red line

Tags

Relations have a checkable option under preferences for tag display.

When this checkbox is selected, the tags associated with the OSM element members are displayed on the map.

Relation displayed with tags.
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Announcing the Second OpenStreetCam Australia and New Zealand Competition

The Telenav OSM team is excited to announce a new OpenStreetCam imagery collection competition for Australia and New Zealand! This second edition will kick-off on the 15th of March and will last until the 15th of April. Buckle up!

How to compete

  • Download the free / open source OpenStreetCam app for Android or iOS.
  • Collect as many OpenStreetCam points as you can until April 15, 23:59 UTC+10. Every image uploaded gets you points, with more points awarded for roads that are being covered for the first time or that have been surveyed infrequently.
  • We will announce the winners on the 16th of April.
  • The top contributors will win a Waylens Horizon dashcam.
  • We will give out one dashcam per country to our top contributors.
  • The runners up will receive a $100 Amazon gift card.
  • You need to gather at least 250K points to be eligible to win the dash cam.
  • Points collected with Waylens dashcams are not eligible.
  • It costs nothing to compete.

About OpenStreetCam

For those who don’t know OpenStreetCam, it is a free and open platform that uploads street-level imagery captured by your smartphone and detects salient features from the uploaded images such as signs, lanes and road curvature to improve OpenStreetMap. The images are collected by mappers for mappers and can be used in iD or JOSM to improve OpenStreetMap.

We have a ‘Getting Started’ guide on our blog!

FAQ

  • How will I know my rank in the leaderboards?

We will post weekly updates on Facebook and Twitter. Make sure you check them once in while.

  • How can I earn more points?

Go to https://openstreetcam.org and check out where the magenta lines are missing. Those areas will guarantee the highest return. 

  • I’m getting errors trying to install the app, record or upload.

Send us an e-mail at hello@openstreetcam.org and we’ll provide support and troubleshooting ASAP.

  • Does your app provide routing?

No.

  • Can I use an OBD-II dongle?

You sure can, if you have one to spare. It’s going to enable the 2X multiplier per each kilometer collected.

  • Can I record with a dashcam?

Of course, you have our full support, as long as the data is under the form of geotagged JPEGs. You can upload the data collected via our script.

  • I signed up via OSM, how will you contact me?

Please send us a message on Facebook or drop an e-mail at hello@openstreetcam.org.

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After Competition, OpenStreetCam Can Now Detect Dozens Of Sign Types in Australia and New Zealand

Last December and January, OpenStreetCam held a image collection competition in Australia and in New Zealand. The three mappers in each country who collected the most points during the months of December 2018 and January 2019 could each win a gift card: $100 for the winner, and $25 for the second and third place. We just announced the winners to the communities in both countries. Congratulations to steve91, robbie-bloggs, ConsEbt, david-blyth, ivss-xx, and nicknz!

User-uploaded image: Screenshot 2019-02-06 15.50.05.png
OpenStreetCam coverage in Melbourne after the competition

We decided to do these competitions because we wanted more mappers in Australia and New Zealand to get acquainted with OpenStreetCam, and consider contributing to this free and open platform for street-level images. The more contributions, the more help OpenStreetCam can be for OSM mappers! There weren’t many contributions in either country yet, and if you go to the OpenStreetCam web site, you’ll quickly see that there are still large gaps to fill. Still, OpenStreetCam coverage grew by 800% since the beginning of December.

Head over to the ImproveOSM Blog for a step-by-step guide on how to get started with OpenStreetCam yourself!

User-uploaded image: Screenshot 2019-02-06 15.52.07.png
OpenStreetCam now sports almost 1.5 million images in Australia and New Zealand combined

OSM mappers can use the OpenStreetCam images to help with mapping. You can’t see everything from an aerial image. Signs are a great example of useful mapping information that requires an on the ground perspective. This is where OpenStreetCam is particularly handy, because we detect an increasing diversity of signs that appear on the photos for you automatically, using an open source machine learning platform.

Interested in a more in-depth look at the OpenStreetCam sign recognition AI? Have a look at our talk at State of the Map 2018 in Milan or our talk at State of the Map US last fall!

Using detected signs in JOSM

Results

For the sign detection platform to work and detect a variety of signs reliably, it needs training data. Your contributions during this competition have been invaluable to reach that goal. Our Map Team looked at tens of thousands of images collected by the community during the competition in Australia and New Zealand, and validated more than 160,000 traffic signs found in these images. After feeding that data into the platform, we can now reliably detect more than 80 types of signs in Australia and New Zealand. As we continue to look at more images that you contribute, the system will get smarter and we will detect more different types of signs.

Do you want to help train the OpenStreetCam sign recognition AI? You can do this right from the OpenStreetCam web site. Read all about it in this blog post.

Validating automatic sign detections is a quick an easy way in which anyone can help improve OpenStreetCam’s ability to detect signs reliably
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OpenStreetCam JOSM plugin – new features

The Telenav OSM team just released a new version of the OpenStreetCam JOSM plugin. In the last couple of months we had improved our sign detections and improved the detection map view,  by displaying aggregated traffic sign detections instead of individual detections. Traffic signs are detected per OpenStreetCam photos, in dense areas the same traffic sign is detected several times. Checking several detected signs that represent the same traffic sign in real life is time-consuming and slows down the mapping process. In order to improve the mapping process, detections that represent the same traffic sign were aggregated into a single detection.

Map View Changes

Aggregated detections are displayed for high zoom levels starting with zoom level 16. Each aggregated detection is represented by a traffic sign cluster icon rotated based on the detection heading.

Aggregated detection data

An aggregated detection can be selected by a right click from the map and unselected by a double click.                                                                                        When an aggregated detection is selected the detection icon along with the belonging photo locations are highlighted on the map and its information is displayed in the right side OpenStreetCam Detection panel. The photo on which the detection has the best visibility is also loaded automatically.

Loading other photos that contains the detections can be done by either selecting a photo location from the map or by pressing the Next/Previous buttons from the OpenStreetCam Detection panel. For the associated shortcuts take a look at the OpenStreetCam shortcuts from JOSM Preferences.

By default, the plugin displays the photo locations of a selected cluster, but the plugin can be configured to display also the actual detections. This can be enabled from JOSM Preferences->OpenStreetCam plugin -> Aggregated detection settings.

If enabled individual detections are connected to the corresponding photo. This visualization is used mainly for debugging purposes.

Data filters

The OSC plugin data can be filtered based on various new filters. Some of these filters were already present and others were extended.

  • data to display – the type of data to be displayed for high zoom levels; by default, we display OpenStreetCam photos and aggregated detections; if both detections and aggregated detections are selected then besides aggregated detections only the detections that do not belong to any aggregation are displayed
  • only mine – displays OpenStreetCam data contributed by the logged in user
  • not older than – filters out data based on a given timestamp
  • detection filters – are applied to detection/aggregated detection data
    • mode – is applicable only to individual detections; if set filters data based on detection mode; manual detections are detections that were manually marked on the OpenStreetCam photos, while automatic detections are detections recognized automatically by our platform
    • edit status  – is applicable only to individual detections; if set filters detections based on edit status (if the user had edited or not in OSM the detection)
    • OSM comparison – filters the data based on the status;  OSM comparison represents a status of a detection regarding its presence in OpenStreetMap; this filter is useful since the mapper can visualize only detections that need to added to the map
    • detection type – filter data based on detection type and subtype; this filter is useful if the mapper would like to focus on mapping only a certain type of signs

Default filter settings can be reset by pressing the “Reset” button.

If you are interested in the components used for aggregating the traffic sign detections check out the following presentation:  https://youtu.be/3I8lsIttqVA?t=290.

Upcoming features
The JOSM plugin is work on progress, we are working on improving the usability and plan to add new features from time to time. In the near feature, we plan to improve the detection mapping workflows.

We hope that you enjoy the new features! If you have ideas, suggestions or encounter any issue with the plugin during editing sessions please submit either to the GitHub issue page or to the Feedback forum .

Have fun improving the map by using OpenStreetCam images!


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ImproveOSM plugin – new features

The Telenav OSM team just released a new version of the ImproveOsm plugin.  We have added a location search box (helpful feature for reaching an area to be mapped) and a button for downloading previously selected ways.

Location search box

A new feature we added to the ImproveOSM plugin is the location search box.  It enables the user to visualize the desired geographical point at a higher zoom level after entering its coordinates in the text field.                     The input of the search box should contain the values for latitude and longitude separated by a comma. If the plugin doesn’t understand your input, an intuitive message is displayed in order to help you. This works similar to the JOSM Jump to position but the search box brings advantages such as the single field for data collecting and more validations for the latitude-longitude values.



Download way button

Another feature is the download way button for the Traffic Flow Direction layer. This enables the user to download the ways of the selected road segments in a new Data layer. This option is only available if the Traffic Flow Detection Layer is active. Furthermore, the button becomes enabled when one or more road segments are selected.

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Getting Started with OpenStreetCam

In this post, we would like to guide you in making your very first contribution to OpenStreetCam.

In this post, we would like to guide you in making your very first contribution to OpenStreetCam. There are already 190 million images on OpenStreetCam covering more than 5 million kilometers of road, so obviously getting started is easy enough that it can be done without much guidance 😁 But in case you do need a little encouragement to record your first trip, or just want to see how it works before you try it yourself, read on.

The first thing you want to do is download the free app. OpenStreetCam apps exist for Android and iOS.

The OpenStreetCam app in the iPhone app store

When you first run the app, it will give a quick introduction about OpenStreetCam. Flick through that to get to the main screen. Then go to your Profile, where you can log in.

You can create an OpenStreetCam account by logging in with your existing OpenStreetMap, Facebook or Google accounts. You won’t need to create a separate password.

After logging in through the platform of your choice, you will see your new OpenStreetCam profile 🙂

Your profile will look a little empty compared to mine, but we are here to change that! Let’s go out and drive some.

You will need some sort of phone mount in your car so you can point the camera straight ahead with a clear and unobstructed view of the road ahead. I use an iOttie brand mount (an older version of this one) but any mount that will hold your phone in landscape mode reliably will do.

You will also want to connect your phone to power. We have spent a lot of time optimizing the app, but the recording still drains the battery quite fast.

Okay, we’re almost ready to go. We just need to start recording mode so the app will start taking pictures as you start moving. Before you do that though, take a moment to scroll around the map looking for streets that have no purple lines. That means that nobody has captured any images there yet, so those streets are extra valuable. (You get 10x points for them too.)

When you’re done with that, press the blue camera button to start recording mode.

You may notice that the app mentions a thing called ‘OBD’. This refers to a port in your car that transmits data about the current state of the vehicle. Using a compatible OBD dongle, OpenStreetCam can use this for improved location accuracy. This is optional but gives you twice the points if detected! If you want to learn more, drop us a line.

The app will not immediately start taking pictures. Using your phone’s built in sensors, it will detect when you start and stop moving. As long as you’re stopped, no pictures are taken. This saves space, time spent uploading, and mappers wading through duplicate images of the same location.

In recording mode, you can switch between a big camera view and a small minimap, or the other way around. You switch by tapping on the minimap / mini camera in the left bottom.

As you drive, you will see your points increase as well as some other basic trip stats like number of pictures taken, space used, kilometers driven and recording time. As I mentioned before, roads that nobody has captured before are worth 10x the points. As you collect more points, you get higher up in the leaderboards and level up!

When you’re done driving, hit the record button to end the trip. You will now see a summary screen for your trip, showing where, how long and how far you’ve driven, as well as how many points you have collected on this trip.

Now that you’re done collecting your first images, it’s time to upload them to OpenStreetCam. This does not happen automatically by default (but you can go into settings to change that.) So as soon as you’re connected to wi-fi, go back to the app and go to ‘Upload’. There you will see the trip you just created.

You can tap on the trip to get more details. One cool thing you can do is ‘scrub’ through the trip.

Tap ‘Upload all’ in the top right corner to upload. You will notice that the file size is actually relatively small. That is because internally, the app compresses the images into a video stream that is unpacked into separate photos again at the server side, saving you time and upload bandwidth.

Once the upload is finished, you can go to openstreetcam.org and log in there. Use the same login method you used in the app, so if you used OpenStreetMap to log in on the app, use OpenStreetMap as your login provider on the web site as well.

Once you’re logged in, you can go to your profile to see your trip.

You can click on the trip to see the uploaded images. (Here is the trip I recorded for this demonstration.)

Notice that I should have wiped the snow ❄ off my car before I started recording.. 😬

Finally, I highlighted two icons you see on the lft hand side of your trip detail window. If you are in the U.S., you may see a number badges. They indicate how many street signs were recognized (the bottom one) and how many of those represent data that doesn’t seem to exist in OSM yet. That’s for a future post though!

Signs detected from my trip images. More on that in a future post!


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