Systems and methods are described herein for managing communications for a connected vehicle, such as between the connected vehicle and other connected vehicle and/or between the connected vehicle and infrastructure entities, such as providers of services to the connected vehicle. For example, a communication network, such as a network provided by a network carrier, may include various cloud engines or other network-based servers that manage, coordinate, and/or provision communications between the connected vehicle and other parties, such as vehicles, road devices, buildings, and other infrastructure entities.

Disclosed herein is a method of controlling an engine start in a hybrid vehicle. The method comprises activating a remote smart parking assist (RSPA) function when a remote smart assist signal is received, determining whether to start an engine of a hybrid vehicle based on a current state of the hybrid vehicle in which the RSPA function is activated, setting a first driving mode using an electric motor when it is determined that the engine is not able to be started, and releasing the first driving mode when a riding determination condition is satisfied in a state of the first driving mode.

A system and method for automatically engaging a remote piloting mode in a vehicle is disclosed. The method includes monitoring a driver and switching to the remote piloting mode if an unsafe driving condition is detected. The method can include monitoring biometric data. The method can also include monitoring behavioral data using one or more kinds of vehicle sensors. The system and method ensure vehicles are safely driven even if a driver experiences a health episode that could leave them unable to safely operate the vehicle.

A vehicle control device includes a first prediction unit that predicts a reaching time for a vehicle to reach a cross point in front of the vehicle in a case where a pedestrian who crosses the cross point is detected based on information transmitted from a wearable device attached to the pedestrian, a second prediction unit that predicts a crossing time for the pedestrian to complete crossing the cross point based on information for specifying a walking speed acquired from the wearable device, an estimation unit that estimates whether or not the pedestrian is able to safely cross the cross point based on the predicted reaching time and the predicted crossing time, and an execution controller that executes a safe driving assistance control with respect to the vehicle in a case where the estimation unit estimates that the pedestrian is not able to safely cross the cross point.

A selectable vehicle profile for an electrified vehicle (EV) may be communicated to a vehicle controller to modify vehicle acceleration, generate simulated engine sounds, customize the look and feel of a vehicle instrument cluster/panel display and/or human-machine interface(s) (HMI) (including gages, menus, displays, colors etc.), control transmission simulated shift schedule and feel, control active suspension/ride control, and similar features so that the EV operates to provide a driving experience similar to a previously profiled vehicle, such as a non-electrified vehicle. Vehicle profiles may be generated by an OEM or after-market supplier based on actual measurements and/or specifications associated with operation of a particular non-electrified vehicle. The vehicle profile may be licensed for download to the EV, and/or made available through a subscription service, for example.

One variation of a method for autonomously delivering supplies to operators within a facility includes, accessing an instructional block defining: a location within the facility; and a target offset distance between an autonomous cart and an operator proximal the location. The method also includes: maneuvering the autonomous cart carrying a set of materials to a position within the facility proximal the location; and accessing a video feed from an optical sensor coupled to the autonomous cart. The method further includes: extracting a set of features from the video feed; interpreting a set of objects depicted in the video feed based on the set of features; and calculating an offset distance between a first object in the video feed and the autonomous cart. The method also includes, in response to the offset distance deviating from the target offset distance, maneuvering the autonomous cart to the target offset distance.

A system for control of a mobility device comprising a controller for analyzing data from at least one sensor on the mobility device, wherein the data is used to determine the gait of user. The gait data is then used to provide motion command to an electric motor on the mobility device.

The present application relates to a method for operating a motor vehicle in an activated at least semi-autonomous driving mode, with the motor vehicle comprising a control unit which controls the motor vehicle in the at least one activated semi-autonomous driving mode. A detection device arranged in the motor vehicle detects at least one motor vehicle occupant (step S1). An authorization device linked to the detection device checks whether at least one of the at least one detected motor vehicle occupants meets at least one authorization criterion (step S2). If this is the case, the authorization device generates an enable signal (step S3a) and sends it to the control unit, which then activates the at least semi-autonomous drive mode (step S4). If the at least one authorization criterion is not met, the authorization device sends out an inquiry signal to an authorization device external to the vehicle (step S3b) and, depending on the external release signal received in response to the inquiry signal, forwards the enable signal to the control unit.

An exit assist method is executed using an exit assist controller configured to control a subject vehicle to move from an exit start position to a target exit position along an exit route. The exit assist method includes determining whether or not an adjacent parked vehicle is present in an adjacent parking space to the exit start position, and when no adjacent parked vehicle is present, generating the exit route that includes the adjacent parking space.

Methods and systems for remote support of autonomous operation of vehicles have been disclosed. State indicators are generated by a first state display based on state data from a portion of vehicles assigned to a respective first level control station. A second state display is generated for a second control station and displays state indicators for the state data of the vehicles. A remote support interface including the first state display and image data received from a first vehicle of the vehicles is generated. Instruction data to the first vehicle is transmitted using the remote support interface and based on an indication that the first vehicle needs remote support, the instruction data modifying the autonomous operation of the first vehicle. A workload between the first level control stations is allocated by assigning the vehicles using the state indicators of the second state display.