HeadsUp
Overview

‘HeadsUp’ is about your driving safety.
‘HeadsUp’ sends and receives a ‘HeadsUp’ directive from surrounding vehicles.

Today vehicles can sense the proximity of vehicles that are directly around it.

From this near collision it looks like this smart vehicle did not know this vehicle to its left needed to exit the road ahead to the right.

How will one smart vehicle know what the next smart vehicle has set in the navigation system and what lane and speed is best ?

Much more sophisticated than the adaptive cruise control systems.

Considering the growth and demand for smart vehicles, more AIorganized interaction is crucial.

For example, a vehicle in the center lane,of a three-lane highway would be alerted to the fact that the vehicle on its left side, in the left lane,is being directed to exit at the upcoming exit on the right.

With that information, the driver of the vehicle in the center lane may be directed with a HeadsUpto speed up or slow down to avoid a collision with the vehicle to its left being directed to exit at the upcoming exit on the right.

The HeadsUp system is the layer above the smart vehicle that analyzes three factors:
calculating the position/speed of adjacent vehicles;
having inter-vehicle communications;
sharing near-term navigation directives among proximate vehicles.

This gives each proximate vehicle additional information beyond just real-time sensing data thus adding another level of predictability and accident prevention.

Heads Up, which has issued (US 10,392,012), is aimed at providing safety to drivers on highways and local roads. It relies essentially on three factors: sensing position/speed of adjacent vehicles; having inter-vehicle communications; and sharing near-term navigation directives among proximate vehicles. This enables drivers to receive directives based on advanced knowledge that a close-by vehicle will be exiting at the next exit, for example, or making a right or left turn on a local road. Thus, in addition to the real-time sensing inputs the vehicles are processing, they are also getting advanced information about near-by vehicle navigation directives.

So, for example, a vehicle in the center lane of a three-lane highway would be alerted to the fact that the vehicle on its left side, in the left lane, is being directed to exit at the upcoming exit. With that information, the driver of the vehicle in the center lane may be directed to speed up or slow down to avoid a collision with the vehicle to its left being directed to exit.

The shared excerpts of navigational directives gives each proximate vehicle additional information beyond just real-time sensing data thus adding another level of predictability and accident prevention.