Reaching consensus on a valid drive

Using various sensors and a built-in encryption chip on a FrodoBot, validators on the network determine the validity of a drive and the subsequent reward of FBT.

Measuring distance

Motion sensors, GPS & more

Each FrodoBot is equipped with a motion sensor (9DOF IMU) and a GPS device. Raw data from both are being streamed constantly to validators on the network, which will determine the distance driven based on these datasets.

Video feeds from the cameras as well as the controls feed from the virtual drivers are also used as supplementary evidence to counter-check against potential fraudulent drives.

The built-in encryption chip then helps to uniquely identify each individual FrodoBot on the network and provides assurance on the appropriate attribution of the various data feeds to the unique FrodoBot.

Reaching consensus

Validators running Proof-of-Driving

Validators are computer nodes running the Proof-of-Driving algorithm and are constantly receiving and evaluating data feeds from various online FrodoBots.

Sensor fusion techniques like Kalman Filter are used to combine the various data sources related to a single FrodoBot and subsequently calculate the distance driven.

Relying on common Proof of Stake mechanism, the appropriate amount of FBT will be minted and distributed based on the "Drive-to-Earn" FBT schedule once consensus has been achieved.