A processing system is for a motorized mobile system that provides powered mobility to one or more users. The motorized mobile system may consist, for example, of one or more of a mobile chair, a mobility scooter, an electronic conveyance vehicle, a riding lawn mower, a grocery cart, an all-terrain vehicle, an off-road vehicle, and a golf cart. The processing system comprises at least one sensor to measure one or more kinematic states of an object proximate to the motorized mobile system and at least one processor to use at least one object kinematic model as at least one state estimator. The at least one processor predicts a first kinematic state estimate of the object at a first time based on a prior knowledge of state for the object. The at least one processor uses the first kinematic state estimate of the object at the first time and a measured kinematic state observed by the sensor at a second time to determine a second kinematic state estimate of the object at the second time, wherein the first time is less than the second time. The at least one processor outputs the first kinematic state estimate at the first time from the object kinematic model for use by at least one other process of the motorized mobile system, wherein the at least one other process causes one or more actions to be taken by the motorized mobile system based on the first kinematic state estimate of the object at the first time. The at least one processor uses the second kinematic state estimate at the second time as an input to the object kinematic model to predict another kinematic state estimate of the object.

A method in an autonomous vehicle comprises determining to perform a left turn maneuver when the vehicle is in a stopping zone, the vehicle is clear of approaching vehicles, and a relevant traffic signal displays a go signal. The method further comprises determining to perform the left turn maneuver when the vehicle has entered a dilemma zone, the vehicle is clear of approaching vehicles, and the relevant traffic signal displays a go signal, a caution signal, or has displayed a stop signal for less than a predetermined amount of time. The method further comprises determining to perform the left turn maneuver when the vehicle has entered a cross-traffic zone, the vehicle is clear of approaching vehicles, and the relevant traffic signal displays a go signal, a caution signal, or a stop signal.

Information generated by human behavior detection sensors (i.e., cameras, microphones, pressure sensors, wearables), and vehicle operational parameter information train a machine learning model to determine a driver's emotional state based on vehicle operational parameter information. The training information may be transmitted by a wireless device for each of a fleet of vehicles and their human driver during a training period. A vehicle driven after the training period may provide vehicle information, vehicle location information, VIN, vehicle operational parameter information, or driver emotional state parameter information to a central computer that may compare the received information to either the trained machine learning model or criteria generated as a result of training the model, to determine whether the first driver, or a second driver of a vehicle proximate the first driver's vehicle, is driving erratically or in an elevated emotional state, and alert the other driver if such a determination is made.

Embodiments of the present invention provided a system comprising: a plurality of speed controllers each configured to assume one or more on states or one or more off states, in a predetermined one or more on states each speed controller being configured to cause a vehicle to operate in accordance with a target speed value, in an off state each speed controller being configured not to cause a vehicle to operate in accordance with a target speed value, the system being configured wherein only one of the speed controllers may be in an on state at a given moment in time, the other one or more speed controllers being arranged to assume an off state when a speed controller is in an on state, the system being configured to delete from a speed controller memory or associated speed controller memory directly accessible by said speed controller, one or more target speed values employed by a speed controller that is not in an on state.

A traveling control system capable of reducing uneasiness felt by an occupant in automatic traveling control of a vehicle includes an on-vehicle control device which performs traveling control on the vehicle, and a display device that is connected to the on-vehicle control device and presents information to an occupant through screen display or audio output. The on-vehicle control device acquires externality recognition information recognized by an externality sensor and/or out-of-vehicle communication, decides driving behavior content to be taken by the vehicle based on the externality recognition information, specifies a driving behavior cause which is a reason why the driving behavior content is decided, and outputs the driving behavior content and the specified driving behavior cause. The display device acquires the driving behavior content and cause output by the control device and sends a notification of the driving behavior content and cause through screen display or audio output.

Methods and apparatus are disclosed for providing autonomous driving system functions. The apparatus includes a communication system configured to receive traffic information from an external entity, a guidance system configured to provide guiding signals for guiding a vehicle, and a vehicle control system configured to generate control signals for controlling the vehicle based on the guiding signals. The guidance system is configured to determine a lane guidance signal based on the received traffic information and to instruct the vehicle control system to change a lane of a road having multiple lanes for the same driving direction. The guidance system is configured to map the road by a state machine having individual states representing lanes of a road and longitudinal segments of the road, such that a route of the vehicle is determined as a sequence of states of the state machine.

An information processing apparatus includes a generation section configured to generate, from a state of a mobile vehicle in each position obtained by discretizing a traveling route along which the mobile vehicle travels, a state of the mobile vehicle in a next position for each use state of drive means contained in the mobile vehicle; and an optimization section configured to optimize the use state of the drive means in each position based on at least one of states of the mobile vehicle in each position generated by the generation section.

Systems and methods for controlling a failover response of an autonomous vehicle are provided. In one example embodiment, a method includes determining, by one or more computing devices on-board an autonomous vehicle, an operational mode of the autonomous vehicle. The autonomous vehicle is configured to operate in at least a first operational mode in which a human driver is present in the autonomous vehicle and a second operational mode in which the human driver is not present in the autonomous vehicle. The method includes detecting a triggering event associated with the autonomous vehicle. The method includes determining actions to be performed by the autonomous vehicle in response to the triggering event based at least in part on the operational mode. The method includes providing one or more control signals to one or more of the systems on-board the autonomous vehicle to perform the one or more actions in response to the triggering event.

An information processing apparatus includes a generation section configured to generate, from a state of a mobile vehicle in each position obtained by discretizing a traveling route along which the mobile vehicle travels, a state of the mobile vehicle in a next position for each use state of drive means contained in the mobile vehicle; and an optimization section configured to optimize the use state of the drive means in each position based on at least one of states of the mobile vehicle in each position generated by the generation section.

Method and apparatus are disclosed for a speed controller for a vehicle. An example disclosed vehicle includes a power train control unit and an autonomy unit. The example power train control unit controls a speed of the vehicle based on a control signal. The example autonomy unit (a) receives a speed profile based on a preview of traffic information from an profile generator on an external network, and (b) based on vehicle dynamic data and the speed profile, generate the control signal to control the speed of the vehicle according to the speed profile.