Methods and systems for managing output devices in a vehicle based on proxemic risk

An electronic device of a first vehicle, the electronic device comprising:

• a processing unit;
• and
• a memory including instructions that, when executed by the processing unit, cause the electronic device to:
• obtain, from one or more sensors, data representing a sensed position of the first vehicle and a sensed feature in a proximity of the first vehicle, wherein the first vehicle is moving within a lane and the sensed feature is a sensed boundary of the lane;
• define a first probability density function (PDF) based on the obtained data, the first PDF representing likelihood of a future position of the first vehicle;
• define a second PDF based on the obtained data, the second PDF representing a distribution of safe trajectories within the lane, the second PDF being a 1D Gaussian distribution having a mean defined by a midpoint of a width of the lane;
• compute a risk metric representing a likelihood of the proxemic risk to the first vehicle based on a complement of an overlap between the first PDF and the second PDF;
• determine a useable number of information bits, based on the risk metric, representing an amount of information safely processable by a driver of the first vehicle;
• and
• control an application, executed by the processing unit, to provide output, via one or more output devices of the first vehicle, within the useable number of information bits.

A non-transitory computer readable medium having machine-executable instructions stored thereon, wherein the instructions, when executed by an electronic device of a first vehicle, cause the electronic device to:

• obtain, from one or more sensors, data representing a sensed position of the first vehicle and a sensed feature in a proximity of the first vehicle, wherein the first vehicle is moving within a lane and the sensed feature is a sensed boundary of the lane;
• define a first probability density function (PDF) based on the obtained data, the first PDF representing likelihood of a future position of the first vehicle;
• define a second PDF based on the obtained data, the second PDF representing a distribution of safe trajectories within the lane, the second PDF being a 1D Gaussian distribution having a mean defined by a midpoint of a width of the lane;
• compute a risk metric representing a likelihood of the proxemic risk to the first vehicle based on a complement of an overlap between the first PDF and the second PDF;
• determine a useable number of information bits, based on the risk metric, representing an amount of information safely processable by a driver of the first vehicle;
• and
• control an application, executed by the processing unit, to provide output, via one or more output devices of the first vehicle, within the useable number of information bits.