How AI is Transforming Navigation Maps - and the World
AI

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

An Autonomous Map for the Autonomous Era
Automotive

An Autonomous Map for the Autonomous Era

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,

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

MotiveTwo types of code rotWhy does code rot?Recognizing code rotThe system-wide-refactor’s fallacyThe 5 step treatmentTherapy is not an adventureMotiveWe build our ideas into reality hoping they would live forever. Software designers, like other engineers, tend to forget that once your work of art is complete, the battle for

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 (and growing), Nexar captures very recent images of roads everywhere. If something changes, whether a

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 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 the limited V2V and

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

How fresh is OSM in terms of stop sign detections?

How fresh is OSM in terms of stop sign detections?

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”, which covered OSM’s road class, directionality and lane metadata. We wanted to add our insights on OSM’

Parking and curb-space: can you map it in real-time?

Parking and curb-space: can you map it in real-time?

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