Based on Nexar's extensive network of dash cams equipped with motion sensors and edge-AI, our research created detailed and constantly updating behavioral maps. As cars become increasingly automated, they often struggle when their expectations based on maps don’t match the hard reality of the road. At Nexar,
This glossary offers over 100 definitions for common terms in the context of real-time mapping. As a guiding principle, we opted to include generally accepted definitions as well as to explain (whenever appropriate) how each entry applies to the key concepts in real-time mapping. A Advanced Driver Assistance Systems (ADAS)
Tomorrow, I’m looking forward to going to Los Angeles for CoMotion LA, an annual event and expo in downtown LA that explores the future of mobility and brings together the public and private sectors. And as I’m getting ready to fly out, I wanted to share with you
In our 2nd public research challenge contestants were faced with using deep learning to solve for a vehicle detection algorithm that can adapt to change. Researchers worldwide got to test their skills, win prizes (1st place $5,000, 2nd place $2,000, 3rd place $1,000), and join our mission
A bridge to our autonomous driving future We’ve talked in previous posts about the challenges autonomous vehicles (AVs) could bring or worsen — traffic [https://blog.getnexar.com/traffic-wont-go-away-with-autonomous-cars-d136f22288a8] , time to market [https://blog.getnexar.com/buckle-up-transportation-will-completely-change-in-40-years-c75c5e46845c] , and ridesharing [https://blog.getnexar.com/ridesharing-and-carsharing-is-a-sideshow-54a253d58100] . However, they’re without a doubt
First post in a five-part series about how transportation will evolve as an ecosystem It will take 40 years for autonomous vehicles to replace human drivers across the world. Despite the hype and Tesla’s best efforts, it will not take 20 or 10 years, and definitely not 5. A
Also introducing our latest data challenge for autonomous developers [https://www.getnexar.com/challenge-2/]` It could be argued there is only one proven Big Data application — web search. Nothing so far has met the sheer size and complexity of indexing the web at the precision, recall, and freshness Google delivers.
Why the race for data ownership is the new driving force of the automotive industry. Yesterday Intel & Mobileye announced that Mobileye will be acquired by Intel for over $15B, an announcement that made waves, given its sheer size and importance, not just for the Israeli tech ecosystem, where Intel
We challenged researchers with teaching deep networks to identify traffic lights, and now they share what they learned in the process. Read on for their insights and a look at their open-source models. Deep learning plays a key role in the race to autonomous vehicles and we wanted to open
Software is eating the roads. This might seem like a grand statement, but in the 7 years since I co-founded Nexar with Bruno Fernandez-Ruiz, it has also become glaringly apparent. In practice, this means that vehicles are becoming increasingly software-centric - prioritizing the consumer demand and experience. The implications are
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,
A comparison between the driver’s accurate location (green dots) and the raw GPS data (red) Today we are very excited to announce that Nexar has developed a new, AI-powered visual localization method that greatly improves GPS location accuracy in challenging urban environments. We’re presenting this new method today
Autonomous Vehicles Require a New City Model Over the course of the last several weeks we’ve talked about the many effects and even needs of autonomous vehicles as we work towards a future filled with them. We’ve debated whether people will buy fewer or exponentially more cars with
Traffic in Beijing. Fu Ding / For China DailyWe all feel it — traffic is getting worse and worse. Congestion periods have slowly expanded beyond commute times and become an all-day phenomenon. Our commute gets longer and longer with every passing year. In previous posts, we discussed how long it’ll take
Just over a month ago on July 25th, Qualcomm® unveiled its Snapdragon™ Neural Processing Engine (NPE) software development kit (SDK) [https://www.qualcomm.com/news/releases/2017/07/25/snapdragon-neural-processing-engine-now-available-qualcomm-developer] . The announcement noted Facebook will integrate the technology into the platform’s augmented reality camera. Nexar was also part of
We’re only human, right!? It’s a fact that 95% of car collisions are caused by human error. The autonomous vehicle has been heralded as the future road-messiah that will take the wheel and save us from self-inflicted pain and loss. However, it’s important to remember that it
February kept us guessing. From people casually hanging out on the freeway, to a drift that almost ended badly, here are the top moments from last month. Each month, we give you the videos captured by Nexar’s users that created the biggest buzz online. Some are just for fun,
This glossary offers over 100 definitions for common terms in the context of real-time mapping. As a guiding principle, we opted to include generally accepted definitions as well as to explain (whenever appropriate) how each entry applies to the key concepts in real-time mapping. Part one can be found here
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
At Nexar, we invest a lot of time in learning about the world’s roads, driver behavior and what happens on the road on a daily basis. That’s because we are building a safe driving network and understanding our roads is an important step in creating a reality with no car collisions.
Edge devices and very large real-world driving datasets hold the promise of autonomous driving Over the past few years, we’ve seen significant advances in learning-based approaches to the development of automotive safety applications. These advances have been applied predominantly to the perception stage of autonomous driving systems. The decisioning
We’re all hearing and now talking about the inevitability of us ditching car ownership in the future. It’s coming from all sides. > “Uber will take over the world (as long as they can get out of their own way)”. “No one will own a car anymore”. “Millennials
Introducing NEXETNexar recently released the largest and most diverse automotive road dataset for researchers in the world. We’d like to provide some context on the evolution of autonomous driving perception and why we’re giving everyone access to our data. For 30 years, neural networks have been the black
Your monthly fix of dangers, ridiculous antics, and horrible driving on the road captured with Nexar. Each month, we present the videos captured by Nexar’s users that generated the most buzz and the biggest reactions. Some are just for fun, while others present serious safety concerns. In March, we
In January we saw jaywalkers and jay-bikers, falling telephone poles and strange skateboarding. Take a look at some of the craziest moments shared by our users. Each month, we give you the videos captured by Nexar’s users that created the biggest reactions in the community. Some are just for