Intel Gives A Glimpse Inside Its Autonomous Driving Lab On Wheels


Many of the top players in technology and automobiles are fervently working towards a world in which autonomous driving vehicles are commonplace. Some current vehicles, like the Tesla Model S, already offer self-driving, auto-pilot capabilities, but these are a precursor to fully autonomous vehicles that operate with virtually no human intervention. As you'd probably expect, Intel is actively working in the area as well. Massive amounts of processing power and storage are needed to churn through and store the deep learning models that will disseminate data for autonomous vehicles. Today the company posted a short video that gives a glimpse into its Autonomous Driving Lab in Chandler, Arizona.

Cyclists May Benefit The Most And Be The Greatest Challenge For Self-Driving Cars


Self-driving cars should eliminate accidents caused by purposeful intimidation and greatly reduce collisions caused by driver error. All of these things make bicycle recognition difficult for detection systems. Detection systems in autonomous vehicles rely on deep learning networks like Deep3DBox to recognize objects in the roadway. The networks in self-driving cars process information about what's going on in their immediate environment by combining what they've learned with information from high-definition street-view maps, cameras, and radar and lidar sensing systems.