Nexar Crash Prediction Challenge Winners Revealed: Pioneering AI for Safer Roads
The Nexar Crash Prediction Challenge attracted remarkable global participation, with 282 team participants and 1,625 submissions.
Artificial Intelligence
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
Abstracting The Earth So That Cars Can Communicate
A shared understanding of the road What if cars could “communicate” to create a common understanding of the road they are in? Actually, they already do. You’re driving: you see a brake light ahead. You brake instinctively, trying to avoid a rear-end collision. This is basic communication, and it’
Introducing The Nexar Challenge: Deep-Driving into the Future
Use Deep Learning for Traffic Light Recognition, compete to win prizes and join our mission to make the road safer Nexar [https://www.getnexar.com/] is building the first over-the-top vehicle-to-vehicle (V2V) network app that turns smartphones into connected AI dashcams. Leveraging millions of crowdsourced road miles from dozens of
Gemini 2.5 Pro Joins Nexar’s AI Challenge — And Breaks Ahead
Last month, we asked: Can AI models truly grasp real-world driving incidents? With Nexar’s sensor-enriched dashcam videos, the feedback was overwhelming. Now, our updated benchmark features Gemini 2.5 Pro—a “thinking model” from Google DeepMind. Discover fresh insights into its performance.
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.
Heard About Qualcomm’s Neural Processing Engine? Why You Should Care
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
Nexar is now available on Android (Beta)
Here’s what we learned after 8 million miles. After launching Nexar on the App Store 6 months ago, we saw larger adoption than expected. Drivers everywhere are eager to have for more pertinent information that makes their driving safer, and more protection in case of a crash. In the
Nexar’s Open Dataset and Crash Prediction Challenge: Pushing the Boundaries of AI-Driven Road Safety
The Nexar Crash Prediction Challenge is live! Using 1,500 real-world driving videos, we’re inviting the global AI community to predict collisions before they happen. Help us push the boundaries of AI for safer, smarter mobility.
Nexar now ‘sees’ 130 million road miles per month to train autonomous vehicles for the most extreme driving situations
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
“Data is the new oil”
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