Systems and methods monitor driver behavior for vehicular fleet management in a fleet of vehicles using driver-facing imaging device. The systems and methods herein relate generally to vehicular fleet management for enhancing safety of the fleet and improving the performance of the fleet drivers, and further relate to monitoring the operation of fleet vehicles using one or more driver-facing imaging devices disposed in the fleet vehicles for recording activities of the fleet drivers and their passengers, storing information relating to the monitored activities, selectively generating warnings related to the monitored activities, and reporting the monitored activities to a central fleet management system for use in enhancing the safety of the vehicles of the fleet and for helping to improve the performance of the fleet drivers.

Upper and lower limits of one or more parameters are established for each of a plurality of states of operation of a vehicle. One of the plurality of states for operating the vehicle is identified based at least in part on the parameters, data describing a human operator, and data describing an environment around the vehicle. A vehicle subsystem is actuated according to an operation mode corresponding to the current operating state.

A control system for a vehicle comprises an automated driving control part configured to automatically perform driver assistance operations for which the driver has given permission among a plurality of driver assistance operations. The automated driving control part comprises a package determining part using at least one of the surrounding environment information, the host vehicle information, and the driver information as the basis to determine a driver assistance package packaging permissions for a plurality of driver assistance operations and a package proposing part proposing to the driver to switch to a driver assistance package so as to obtain permissions for the individual driver assistance operations permitted in the driver assistance package.

Provided is a vehicle stop support system for supporting vehicle stop in an emergency condition. The vehicle stop support system detects a physical abnormality of a driver; sets a target time period based on the detected abnormality; detects a plurality of stop point candidates in a traveling direction of a vehicle; estimates a time period required to reach each of the candidates; a estimates a rear-end collision risk which is a risk that, when assuming that the vehicle stops at each of the candidates, the vehicle will be rear-ended by a following vehicle; and a sets a stop point, wherein the system is operable to set, as the stop point, one of the candidates which satisfies a condition that the required time period estimated with respect thereto is equal to or less than the target time period and which is lowest in terms of the rear-end collision risk.

A service level indicator system for a vehicle includes one or more sensor that provides one or more of a battery charge level, fuel fill level, oil fill level, and tire pressure level to a control system that instructs the actuation of at least one of a sun visor, shade, and tonneau cover is positioned to generate a message that is readily understood by the vehicle's operator but is ambiguous to other viewers. These components require no power after actuation and do not draw attention to any message they transmit. The position can identify the level that is deficient, and the degree of the deficiency using one or a plurality of the vehicle's components. The entire message is viewable from at least the driver's side of the vehicle and can be at least partially received from any angle of approach to the vehicle.

Disclosed is a vehicle allocation method of a server in an automated vehicle and highway system, which acquires a state information of a user, using a home Internet of Things (IoT), determines behavior information of the user, sets a going out stage related to an action sequence for going out of the user, based on the behavior information, transmits a vehicle allocation request message to the vehicle in order for the user to use the vehicle, based on the going out stage, whereby efficient vehicle allocation can be provided to users. One or more of an autonomous vehicle, a user terminal and a server may be connected to an artificial intelligence (AI) module, a drone (unmanned aerial vehicle, UAV) robot, an augmented reality (AR) apparatus, a virtual reality (VR) apparatus, a 5G service related apparatus or the like.

Electronic bicycles may communicate with each other to provide a communal biking experience to their riders. The electronic bicycles may collect rider data about their riders and may adjust the output parameters of the electronic bicycles based on the rider data. For example, the electronic bicycles may identify a weaker rider of the riders and may adjust the output parameters of the weaker rider's electronic bicycle to minimize a difference in the operation of the weaker rider's electronic bicycle and the stronger rider's electronic bicycle. Additionally, a parent rider may establish rider restrictions on an electronic bicycle ridden by a child.

Provided is a vehicle stop support system for supporting vehicle stop in an emergency condition. The vehicle stop support system sets an allowable lateral acceleration, based on a physical abnormality of a driver; detects a plurality of stop point candidates in a traveling direction of a vehicle; estimates a lateral acceleration to be generated during traveling of the vehicle to each of the candidates; estimates a rear-end collision risk that the vehicle will be rear-ended by a following vehicle; sets a stop point; and controls the vehicle to travel to the stop point and stop at the stop point. The system is operable to set, as the stop point, one of the candidates which satisfies a condition that the lateral acceleration estimated with respect thereto is equal to or less than the allowable lateral acceleration and which is lowest in terms of the rear-end collision risk.

An autonomous driving system includes a control device and a request input device. The control device executes one or more controls of a vehicle including an autonomous traveling control. The request input device sends various requests to the control device by a human operation. The control device executes, during execution of the autonomous traveling control, a process for determining whether an operator who operates the request input device is a qualified person. Then, the control device approves the request when the operator is a qualified person, and disapproves the request when the operator is not a qualified person.

A method of controlling vehicle driving, when a plurality of occupants is in the vehicle, by implementing components required for vehicle driving control as holographic images to ensure a maximum space in an autonomous vehicle, may include steps of requesting, by a first occupant currently having no driving control authority, a transfer of the authority by use of a holographic image, accepting, by a second occupant currently having the driving control authority, the transfer of the authority by use of the holographic image, selecting, by the first occupant, a mode by use of the holographic image based on the acceptance by the second occupant, and performing vehicle control in accordance with the mode selected by the first occupant, and the holographic images in the respective steps are displayed to the occupants wearing an HMD device.