How CoverWhale Establishes Drivers Safety for Insured Truck Drivers

How CoverWhale Establishes Drivers Safety for Insured Truck Drivers

Nexar announces partnership with CoverWhale to enhance its innovative Driver Safety Program, further improving safety and lower insurance premiums. The trucking industry encounters an avalanche of safety risks. This is why we are so excited to announce our recent partnership with Cover Whale. Cover Whale Insurance Solutions Inc. is a

Maps vs. Ground Truth in Phoenix, AZ: Ready for Autonomous Driving?

Maps vs. Ground Truth in Phoenix, AZ: Ready for Autonomous Driving?

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 scalable map

Constant Coverage: Nexar’s Consistent, Visual Inventory of Roads

Constant Coverage: Nexar’s Consistent, Visual Inventory of Roads

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

Software Code Rot: Symptoms & Remedies

Software Code Rot: Symptoms & Remedies

* 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+

How AI is Transforming Navigation Maps - and the World

How AI is Transforming Navigation Maps - and the World

Nexar’s Algorithm Data Analyst, Raphael Mamane, explains how the company is paving the way for the future of digital maps - and revolutionizing the world as we know it In the era of automation and efficiency we are approaching,  traditional maps are no longer sufficient. As maps move from

AI
Ludovico Fassati Joins Nexar as its SVP America and President B2B America

Ludovico Fassati Joins Nexar as its SVP America and President B2B America

Nexar, a leading AI vision company, announced today that it has appointed Ludovico Fassati as its  SVP America and President B2B America. Fassati will manage Nexar’s business in the US, focusing on Nexar’s insurance, fleet and public sector offering, as well as real-time mapping. Fassati joins Nexar from

Announcing change detection for road signs

Announcing change detection for road signs

“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

An Autonomous Map for the Autonomous Era

An Autonomous Map for the Autonomous Era

Today we published a report [https://nexar.ghost.io/blog/ghost/#/data.getnexar.com/blog/autonomous-maps-era/] 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

Automotive Edge Model: Lessons learned from legacy V2V and V2C

Automotive Edge Model: Lessons learned from legacy V2V and V2C

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. It addresses how

To make autonomous vehicles a reality, a change of course is needed

To make autonomous vehicles a reality, a change of course is needed

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