Today we published a report comparing the ground truth speed limit signs in Phoenix, AZ, with OSM and City of Phoenix data. The bottom line is that maps become stale at a rate of 2.5-6% per year and that we need to change how we think about map creation,
In the near future all cars will collect vision data from front-facing cameras. What does this mean for insurance and claims adjustment and resolution? What can we learn from current dash-cam AI solutions? Introduction A study by Autopacific shows that 70% of all new car buyers would want their next
AECC recently published an architecture whitepaper [https://aecc.org/resources/publications/] for mobility & connected cars - "Distributed Computing in an AECC System". As Nexar is a part of the AECC, we’re excited to take in part in this architecture and share the highlights of this whitepaper.
In 2015 the Guardian predicted that “In 2020, you’ll be a permanent backseat driver”. It is now 2021, and current predictions forecast many more years before we see this level of autonomous driving. Another thing is becoming evident, too: people expect AVs to drive better than humans, with no
Is OSM data about stop signs fresh and conclusive, or does it require some additional work? We asked this question after reading ״How Lyft discovered OpenStreetMap is the Freshest Map for Rideshare [https://eng.lyft.com/how-lyft-discovered-openstreetmap-is-the-freshest-map-for-rideshare-a7a41bf92ec] ”, which covered OSM’s road class, directionality and lane metadata. We wanted to
Comparing Nexar's Phoenix, AZ ground truth data with both City of Phoenix and OpenStreetMap (OSM) limit data shows that maps become stale. This post details the findings of our analysis for Phoenix, AZ speed limit signs. You can also read why this means we need to think about
Nexar’s software architect, Robert Harrison, explains what stands behind Nexar’s Constant Coverage Technology. Providing consistent, quality coverage of roads and highways across the US means providing the necessary information that helps us understand the world around us. Collecting data from our car camera network - through an annonymization
* Motive [https://getnexar.atlassian.net/wiki/spaces/EN/pages/2998337537/Software+Code+Rot+Symptoms+Remedies#Motive] * Two types of code rot [https://getnexar.atlassian.net/wiki/spaces/EN/pages/2998337537/Software+Code+Rot+Symptoms+Remedies#Two-types-of-code-rot] * Why does code rot? [https://getnexar.atlassian.net/wiki/spaces/EN/pages/2998337537/Software+
Ahead of massive infrastructure bill, Nexar provides cities with free Smart City technology to plan road improvements New York, NY - August 18, 2021 - Nexar [https://data.getnexar.com/], a leading AI computer vision company, announced today they will be providing US transit agencies, cities and Departments of Transportation
Nexar generates the world’s largest independent vision dataset providing AV creators with the anomalous data they need for training along with mapping and change detection
“Within 5 years, camera technology will be part of the commercial trucking underwriting process,” says Ricky Hale, VP of Commercial Auto Operations at Paramount General Agency. “While drivers may be reluctant to adopt interior-facing cameras, front-facing cameras provide benefits to all those involved: the insureds can better control their premiums,
Six years ago, my partner, Bruno Fernandez-Ruiz, and I, started the journey of Nexar. Today Nexar is announcing a round that brings its total funding to $153 million. This is an opportunity to explain what we’ve been working on since our last round last year and where we plan
“Change is the only constant” - Heraclitus Nexar has always prided itself on its coverage, and the ability to provide a constant stream of fresh images from the road. With 130 million miles driven monthly [https://data.getnexar.com/blog/nexar-now-sees-130-million-road-miles-per-month-to-train-autonomous-vehicles-for-the-most-extreme/] (and growing), Nexar captures very recent images of roads
Dual facing cameras and AI technology help drivers claim workers’ compensation in the case of a collision or assault New York, NY - August 12, 2021 - Nexar, a leading AI computer vision company, announced a partnership with the Black Car Fund (BCF), New York State’s workers’ compensation provider
What it takes to create a crowd-sourced identification of free, on-street, parking During February 2021 we used images collected from dash cams and AI to map on-street parking spots in Milan. We wanted to understand the city’s curb-side and prove the value of real-time, free-parking-spot detections for drivers and