Access up to $50,000
Ontario-based startups and scale-ups using HD mapping technologies can access up to $50,000 in funding with a 1:1.5 match thanks to the Autonomous Vehicle Integration Network (AVIN).
We helped Eye for Infrastructure, we're ready to help you.
Choose an application category
Successful companies will be awarded:
- Up to $50,000 to be used towards eligible project costs related to product development, market traction and business scaling. The financial support must be used to:
- Develop or demonstrate a viable working prototype (product development).
- Make product or service improvements to generate greater market traction and sales.
- Time with coaches focused on GIS, spatial analytics, HD mapping, data science, data strategy, and/or data engineering. Additional coaching could include sales, marketing, talent retention and attraction, and more.
- Support from experts to overcome project challenges and barriers.
- Dedicated support from the Communitech Data Concierge program.
- Upon successful completion of the program, Communitech will provide a referral to a demonstration project and/or matchmaking event with corporate partners through the AVIN Demo Zone.
Successful applicants must provide an in-kind match at a ratio of at least 1:1.5 of the amount awarded.
Proposals will be evaluated based on business feasibility, as well as impact on the C/AV ecosystem, contribution to spatial data and HD mapping maturity (firm or ecosystem level) and the innovative application of spatial/HD Map data or HD mapping technology.
- You are an Ontario-based incorporated startup or scale-up (under 500 employees).
- You have not received previous financial support through the AVIN Waterloo Ventures at Communitech program.
- You are currently using or have identified future opportunities to use mapping technology and data driven maps in products or services.
- You plan to use the program for product development, sourcing first customers and solving real business needs (support is not eligible for use for marketing and/or sales activities).
The OpenHDMaps Autonomous Vehicle Innovation Network (AVIN) Ventures program at the Waterloo Regional Technology Development Site (RTDS) supports Ontario based businesses who use high definition (HD) maps and mapping technologies in the development or enhancement of their products or services. Mapping technologies could be directly supporting the connected and autonomous vehicle sector, or supporting other verticals such as transportation, logistics, utilities, infrastructure, internet and media.
Applications may include, but are not limited to:
Connected and autonomous vehicles:
- Artificial Intelligence for map production
- Sensor and multiple data source fusion for map production
- Localization and perception technology
- Map maintenance/updating and deployment technology
- Cloud-based storage and processing
- HD Map usage in C/AV simulation and training
- C/AV security technology related to HD Map usage
- Geospatial analytics
- Map visualization
- Map usage that improves accessibility
- Pedestrian navigation
- Applications of mapping technology in other sectors (e.g., Utilities, infrastructure, fleet management, public transportation, real estate, advertising, etc.)
- You are an Ontario based (incorporated) start-up or SME (under 500 employees).
- You have not received a previous Waterloo RTDS AVIN Ventures grant (this is a one-time grant)
- You currently use or see future opportunities to use mapping technology and data driven maps in products or services.
- Activities supported through this program include product development, sourcing first customers and solving real business needs.
- The funding is not eligible for use for marketing and/or sales activities.
The AVIN Waterloo Ventures Program reimburses 33.3% of eligible project costs, upto a maximum of $50,000 to the expenses made. The remainder of 66.7% is an in-kind contribution from the participant. The cash reimbursement to in-kind contribution is a minimum of 1:1.5 for each of the projects. For example, if a company is getting $50000 in funding from the AVIN Ventures program, they have to provide a minimum of $75000 as in-kind contribution.
All eligible expenses need to
- be incurred and paid for by the applicant
- evidence of that expense needs to be provided
- proof of payment is also required
prior to being reimbursed or acknowledged as an in-kind contribution.
Yes, one of our coaches will review it and provide feedback, to make your updates in time for the final submission.
This is optional and you can choose to submit the application without a preliminary review.
This is a one time grant. If you have not received a previous Waterloo RTDS AVIN Ventures grant then you can apply.
The platform is under development, and functionality is steadily rolling out. For example, new functionality that will allow users to directly query the data within the map browser using spatial and attribute filters is currently in the works.
At minimum, you will have access to the building, driveway, edge of curb, parking, road, road centrelines, road markings and bike lane vector layers of the HD vector base map for the cities of Kitchener, Waterloo and Cambridge. You will also have access to the aerial imagery used to extract those features and a sample set of street view imagery. https://demo.ecopiatech.com/demo/030/001
As more participants join OpenHDMaps, additional data for the Waterloo region and elsewhere will be added.
Yes, a beta version of an API is available as well as the raw data for the parts of the Waterloo region that have currently been mapped.
It is a combination of a mapping platform and data marketplace, where users can download, interact with, and upload geospatially enabled datasets. There are a number of analysis functionalities integrated within the platform that allow users to evaluate the data within the system and derive valuable insights.
Data can be uploaded in Shapefile format. You can also share external API and FTP links for end users. Only shapefiles will be available for visualization within the platform.
To add to the map = shapefiles. To contribute data overall= FTP and API links and shapefiles.
Users do not have the ability to build a web application using the layers hosted in the platform.
Depending on the size of the data it needs to be processed by the Ecopia team. On average, this could take 24-72 hours.
Eligible expenses include costs and activities directly related to achieving the objectives for which the funding was granted. All procurement activities must conform to Broader Public Sector Accountability Act (BPSAA).
Actual costs directly attributable to and necessary for the completion of the project and are not wholly or partially for another purpose. One-time costs, directly attributable to implementation of the project; actual cash outlays that must be documented through invoices, receipts, or records and are subject to verification by an independent auditor. Evidence of payment must be maintained for audit purposes. Costs incurred outside Ontario are ineligible for reimbursement.
Examples of eligible and ineligible expenses can be found here.
For every $1.00 funded (i.e. reimbursed to you), you need to provide $1.50 of in-kind contribution.
Claims forms for reimbursement for eligible expenses need to be submitted by the last day of each month. In order to receive the funds associated with the reimbursement claim, an associated in-kind claim form must also be submitted demonstrating at least 90% the in-kind contribution requirements (e.g. 1:1.5 ratio) is satisfied. Supporting evidence (e.g. timesheets, proof of payment, invoices, etc.) need to accompany each claim and in-kind contribution form in order for the claim to be considered complete. For the final claim, evidence must be provided that the full in-kind contribution requirement is met.
The maximum allowable compensation for a founder is $5,000 per month in-kind contribution (terms and conditions apply), please consult with the Waterloo RTDS AVIN Ventures Program Manager for details.
If a project cost is paid by the participant from a non private sector source (i.e. a source that is not provincially or federally funded) then it is considered an eligible in-kind contribution.
Expenses incurred before the Participant Participation Agreement has been signed are not eligible.
Expenses incurred outside of the Province of Ontario aren't eligible for reimbursement, but can be included as an in-kind contribution.
Only as an in-kind contribution.
Capital items (fixed assets) include equipment, testing tools, and instruments that have residual values as determined by Generally Accepted Accounting Principles (GAAP) at the end of the funding period. The eligible expense items allowed are the cost of utilization/depreciation of capital item (fixed assets) specifically required for the delivery of the eligible project. The prorated cost should be entered under ""Participant Contribution (In-kind)"" in the application milestone table.
GAAP is a collection of commonly-followed accounting rules and standards for financial reporting. The purpose of GAAP is to ensure that financial reporting is transparent and consistent from one organization to another. Residual Value of an asset, the estimated amount that it will be worth at the end of funding period.
Depreciation is the systematic reduction in the recorded cost of a fixed asset.
Indirect Costs, also called “Overhead”, are those costs which, though necessarily having been incurred during the Work Phase for the conduct of the business in general of the Recipient, cannot be identified and measured as directly applicable to the carrying out of the Project.
Indirect Costs include:
- indirect materials and supplies (including but not limited to, supplies of low-value, high-usage items which meet the definition of Direct Material Costs but for which it is commercially unreasonable, in the context of the Project, to account for their costs in the manner prescribed for Direct Costs);
- indirect labour;
- fringe benefits;
- public utilities expenses of a general nature including, but not limited to, power, HVAC, lighting, and the operation and maintenance of general assets and facilities;
- expenses such as property taxes, facilities and office rentals and depreciation costs; and
- general and administrative expenses including, but not limited to, the remuneration of executive and corporate officers, general office wages and salaries, clerical expenses related to the administration and management of the Project, such as processing claims and reporting, and expenses such as stationery, office supplies, postage and other necessary administration and management expenses.
Indirect (overhead) expenses are considered an ineligible project cost unless otherwise stated.
Travel costs are not eligible.
Marketing related expenses are not eligible.
You will be reimbursed for all the eligible expenses incurred and paid during the project up to the project completion deadline. Any other expenses made before the start date of the project or after the project completion date will not be accepted.
Ownership of all intellectual property remains with the participant.
In general, use of the data for participants is limited to research and development activities. The data may not be used as part of a commercial product or service unless terms and conditions between the data provider, data consumer and OpenHDMaps for use of the Data has been negotiated in a separate Data License Agreement.
Other small/medium enterprises (SME) that are participating in the program will have access to the data for R&D purposes at no cost. Large corporate organizations that have partnered with and are contributing to the OpenHDMap project may also be granted access to the data.
Previous cohorts participants
3D Perception Mapping for Industrial Autonomous Vehicles
Clearpath Robotics is a global leader in autonomously driven vehicles for research and industrial material transportation. Their OTTO platform is an autonomously driven robot material transportation system that uses data-driven maps to predict traffic flow, as well as avoid collisions on the busiest factory floors and most cavernous warehouse environments. They created a cloud-connected, AI-controlled, industry 4.0, automation vehicle platform.
Their goal is to conduct research in 3D mapping to create enhanced neural networks and integrate 3D perception mapping into OTTO Motors product lines, as well as increase vehicle speed, navigation accuracy and ability to perform safely through enhanced collision avoidance.
Eye For Infrastructure
Business Operational Model for Automated Road Patrol
Eye for Infrastructure (E4I) provides AI technology that revolutionizes how a municipality monitors and tracks physical assets, such as roads. They use high definition dash cameras (with synced GPS and IMU measurements) to capture the data. Frequent data collection allows them to build temporal models of distresses and track their evolution over time.
This project aims to coordinate the collection of data from city workers, process the data, then deliver geocoded results. They will then develop a predictive algorithm and validate its results. Additionally, they will create a layer within the HD maps platform that will visualize the results for users.
Equator Studios (Formerly Maple Precision)
3D Maps for City Builders
Equator Studios is an online mapping platform, similar to Google Earth, for city builders. Their platform includes millions of data sets that civil engineers, planners and environmental consultants rely on, including high resolution 3D topography. They find and organize spatial data based on client requests.
For this project, their goals are to develop a simple GIS platform for the infrastructure sector, support the connected and autonomous vehicle sector by providing end uses for the data, provide map usage data that improves accessibility in the infrastructure sector, utilize cloud-based storage, and process and display the map visualization data.
Using AI algorithms, Jakarto offers automated object extraction for buildings, street furniture, vegetation, road signs, road auscultation and other objects that make up the city. They can create a digital twin of a city and its infrastructure by using mobile mapping systems that combine 360° HD video, geolocation using inertial navigation systems, a global navigation satellite system (GNSS) and LIDAR technology.
Their goal is to map 10% of Waterloo Region and create a point cloud LiDAR representation of the area, then format those points (.las) and deliver a point cloud (about 1 cm resolution), a simplified point cloud (about 10 cm resolution) and a rasterized point cloud of the area.
Real Estate and Infrastructure Visualization, Delivering Near Real-Time and Future City Mapping
MapYourProperty (MYP) is an all-in-one mapping and analytic platform for the land development and real estate industry. Their online tool streamlines the due diligence process for any properties with development potential. It provides insight into existing and future urban planning policies, providing instant opportunities and risk assessments for any real estate development or investment.
Their goal is to track all new development applications and capital projects with the City of Kitchener, identify key infrastructure, and change urban fabrics and development on a daily basis. They will identify roadmap or hotspot areas of intense change and prioritize rescanning using mobile lidar.
Pedestrian and Cyclist Safety System
SafeGround fuses data to deliver location-based predictions and foresight to save lives and prevent pedestrians and cyclist injuries by motorist and connected and autonomous vehicle (CAV) collisions. Their unique focus is on the interactions between people (motorists, pedestrians and cyclists), places (roads and public space use) and technology (devices and vehicles).
Their project is to build a human mobility and risk AI model that can be tested in the CAV supply chain, as well as secure a unique position in the market, then create a pedestrian and cyclist neural network.
Spotzi offers a one-stop shop solution with a data warehouse, and visualization and analysis tool integrated into one platform. It’s an interactive mapping platform that shows the world’s demographic composition and other relevant data sources down to address level.
Their goal is to develop AI-powered valuation solutions that help understand property value and its underlying drivers. They will use data deciphering factors, such as rental rates, vacancy rates, employment growth, demographics, new construction supply, zoning regulations, interest rates, capital availability and many more. They will then test machine learning models to calculate property value.
HD Map for Enhancing Collision Prediction System
Transoft Solutions (formerly Brisk Synergies) is the leader in automated road safety analysis. They provide video-based automated road safety analysis for cities and transportation agencies to predict future collisions. Transoft Solutions measures traffic safety issues by detecting the frequencies and severity of near-misses. They can complete this task in a few days, whereas previously used methods would have taken five years.
Their project will utilize the HD map platform to perform enhanced intersection-level and network-level traffic safety analyses. They will then integrate HD Maps into a computational system to improve the accuracy of the safety analysis and add it into a result dashboard so analysis results can be presented spatially to the clients in greater detail.
Thanks to our partners
The AVIN Waterloo Ventures Program is offered through the Ontario Centres of Innovation (OCI) RTDS partners: Communitech, University of Waterloo WatCAR and the Waterloo Economic Development Corporation.
Thanks to the Autonomous Vehicle Innovation Network (AVIN) for funding the Waterloo Regional Technology Development Site, delivered on behalf of the government of Ontario through Ontario Centres of Excellence.