DeepMap, a maker of HD maps for self-driving, raised at least $60M at a $450M valuation

As car and tech companies continue to make inroads on vehicles and services to build autonomous driving systems, a startup that is creating high-definition maps to help these vehicles move around has quietly picked up a significant round of funding. DeepMap — a Palo Alto startup co-founded by James Wu and Mark Wheeler, who previously […] Continue reading DeepMap, a maker of HD maps for self-driving, raised at least $60M at a $450M valuation

Delivery Drones Can Learn From Driving And Cycling

Increasingly these days drones are being used for urban surveillance, delivery, and examining architectural structures. To do this autonomously often involves using “map-localize-plan” techniques wherein first, the location is determined on a map using GPS, and then based on that, control commands are produced.

A neural network that does steering and collision prediction can compliment the map-localize-plan techniques. However, the neural network needs to be trained using video taken from actual flying drones. But generating that training video involves many hours of flying drones at street level putting vehicles and pedestrians at risk. To train their DroNet, Researchers from the …read more

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Table-Top Self Driving With The Pi Zero

Self-driving technologies are a hot button topic right now, as major companies scramble to be the first to market with more capable autonomous vehicles. There’s a high barrier to entry at the top of the game, but that doesn’t mean you can’t tinker at home. [Richard Crowder] has been building a self-driving car at home with the Raspberry Pi Zero.

[Richard]’s project is based on the EOgma Neo machine learning library. Using a type of machine learning known as Sparse Predictive Hierarchies, or SPH, the algorithm is first trained with user input. [Richard] trained the model by driving it around …read more

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Make Cars Safer By Making Them Softer

Would making autonomous vehicles softer make them safer?

Alphabet’s self-driving car offshoot, Waymo, feels that may be the case as they were recently granted a patent for vehicles that soften on impact. Sensors would identify an impending collision and adjust ‘tension members’ on the vehicle’s exterior to cushion the blow. These ‘members’ would be corrugated sections or moving panels that absorb the impact alongside the crumpling effect of the vehicle, making adjustments based on the type of obstacle the vehicle is about to strike.

The new reality of self driving vehicles has had people anxious over safety concerns with good …read more

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