Abstract:
Method including receiving a teleoperation message via a communication link from an autonomous driverless vehicle, detecting data specifying an event associated with the autonomous vehicle like the degradation of a sensor, identifying one or more courses of action to perform responsive to the event, simulating the courses of action to calculate simulated values and generating visualization data to present information associated with the event to a display of a teleoperator computing device to allow selection of a desired course of action.
Abstract:
Techniques for determining an error model based on vehicle data and ground truth data are discussed herein. To determine whether a complex system (which may be not capable of being inspected) is able to operate safely, various operating regimes (scenarios) can be identified based on operating data. To provide safe operation of such a system, an error model can be determined that can provide a probability associated with perception data and a vehicle can determine a trajectory based on the probability of an error associated with the perception data.
Abstract:
A method for operating a driverless vehicle may include receiving, at the driverless vehicle, sensor signals related to operation of the driverless vehicle, and road network data from a road network data store. The method may also include determining a driving corridor within which the driverless vehicle travels according to a trajectory, and causing the driverless vehicle to traverse a road network autonomously according to a path from a first geographic location to a second geographic location. The method may also include determining that an event associated with the path has occurred, and sending communication signals to a teleoperations system including a request for guidance and one or more of sensor data and the road network data. The method may include receiving, at the driverless vehicle, teleoperations signals from the teleoperations system, such that the vehicle controller determines a revised trajectory based at least in part on the teleoperations signals.
Abstract:
Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. More specifically, systems, devices, and methods are configured to simulate navigation of autonomous vehicles in various simulated environments. In particular, a method may include receiving data representing characteristics of a dynamic object, calculating a classification of a dynamic object to identify a classified dynamic object, identifying data representing dynamic-related characteristics associated with the classified dynamic object, forming a data model of the classified dynamic object, simulating a predicted range of motion of the classified dynamic object in a simulated environment to form a simulated dynamic object, and simulating a predicted response of a data representation of a simulated autonomous vehicle.