Current Challenge
Configuring and maintaining sophisticated Edge AI and transfer is difficult and expensive, which affects driver notifications and experience.
the Real-Time Mapping Platform for the modern mobility age
Software is rapidly eating our vehicles and our roads.
Digital maps require a new layer of fresh, real-time data to fit modern mobility needs.
Only with Real-Time Mapping can vehicles with advanced driver assistance know what's coming their way, react to varying speed limits, find parking, avoid work zones and one day - drive themselves.
CityStream™ Live makes real-time mapping a reality.
Configuring and maintaining sophisticated Edge AI and transfer is difficult and expensive, which affects driver notifications and experience.
With an always up-to-date data pool, drivers will be notified about hazards and signs & signals in real-time, creating a unique, innovative user experience for drivers and customers.
Relying on survey vehicles and thousands of sources in order to update and maintain data layers is time consuming and expensive.
Map quality, accuracy and freshness combined with reduced data maintenance costs will impact end user experiences.
Without visual data, it's hard to verify meta data and sensor fusion. Benchmarking data for accuracy and quality is also problematic.
CityStream's vision-based observations enable sensor fusion, verification and enhancement of data sets, delivering a true 360 view.
Fleet managers and drivers need accurate data in order to deliver reliable ETA, provide routing guidance and maintain vehicle safety.
Fresh verified data enhances routing and navigation experiences by translating real time observations into actionable evidence-based actions.
The ability to maintain up-to-date HD maps that include road hazards and other real-world objects detection at scale is limited due to high costs.
A live stream of information improves vehicle training in real time, as well as enhance, update and supplement your base map.
Without up-to-date data, it's impossible to manage congestion and maintenance issues.
High-frequency image data creates unprecedented transparency into your areas of interest, without the need to deploy assets for visual inspection.
A massive network of "eyes on the road" collects images and videos of any fleets or cars.
AI models, detection and aggregation algorithms run at the edge of the network for scalable, economic data upload.
Real-time detections are aggregated, anonymized and projected onto a base map.
Nexar's science-based approach, MTBV provides coverage data in a selected area
Nexar's crowdsourced vision fuels CityStream's unparalleled network of always-fresh mapping
Road vision data per year
(and growing) in our network of cameras
Monthly coverage of US Roads
Covers more roads than any single OEM fleet
Automatically aggregates petabytes of road information
Works with multiple data formats and/or hardware
Dramatically decreases the cost of mapping each mile.
Live feed and image inspection of detected road work elements
Change detection for road segments and traffic signs
Largest collection of every type of road segment
In the 90s, Google's PageRank harnessed crowd wisdom and indexed the web at 40x lower cost.
In 2022, Nexar is using the same principles to make real-time mapping a reality.
Twitter streams user updates in a real time feed.
CityStream™ streams a live feed of crowdsourced road data.