Devices, systems, and methods are provided for enhanced rider pairing of an autonomous vehicle (AV). A system may pair a first user profile of a first user located at a first location with a first autonomous vehicle (AV) to complete a trip to a destination selected by the first user. The system may detect a second AV at the first location, wherein the second AV is associated with a second user profile. The system may connect the second AV with the first user using a connection mechanism. The system may select a profile status of the first user profile based on the connection to the second AV. The system may pair the first user profile with the second AV based on the profile status.

A control system for a vehicle includes a time sensitive network switch and one or more processors. The time sensitive network switch is configured to receive sensor data from light detection and ranging (LIDAR) sensors, radio detection and ranging (RADAR) sensors, or image sensors. The sensor data is representative of estimated objects that are in an external environment of the autonomous vehicle. The one or more processors are configured to receive the sensor data and determine instructions to control movement of the autonomous vehicle at least partially based on the sensor data from the time sensitive network switch and at least partially based on map data.

A motion planner of an autonomous vehicle's computer system uses reconfigurable collision detection architecture hardware to perform a collision assessment on a planning graph for the vehicle prior to execution of a motion plan. For edges on the planning graph, which represent transitions in states of the vehicle, the system sets a probability of collision with a dynamic object in the environment based at least in part on the collision assessment. Depending on whether the goal of the vehicle is to avoid or collide with a particular dynamic object in the environment, the system then performs an optimization to identify a path in the resulting planning graph with either a relatively high or relatively low potential of a collision with the particular dynamic object. The system then causes the actuator system of the vehicle to implement a motion plan with the applicable identified path based at least in part on the optimization.

A motion planner of an autonomous vehicle's computer system uses reconfigurable collision detection architecture hardware to perform a collision assessment on a planning graph for the vehicle prior to execution of a motion plan. For edges on the planning graph, which represent transitions in states of the vehicle, the system sets a probability of collision with a dynamic object in the environment based at least in part on the collision assessment. Depending on whether the goal of the vehicle is to avoid or collide with a particular dynamic object in the environment, the system then performs an optimization to identify a path in the resulting planning graph with either a relatively high or relatively low potential of a collision with the particular dynamic object. The system then causes the actuator system of the vehicle to implement a motion plan with the applicable identified path based at least in part on the optimization.

A vehicle dispatch system for dispatching an autonomous driving vehicle capable of traveling with remote assistance by a remote operator. The vehicle dispatch system comprising: a required time prediction unit for predicting the required time until the autonomous driving vehicle arrives at a point of dispatch by a route, a remote assistance request number calculation unit for calculating the remote assistance request number on a route, and a vehicle dispatch determination unit for determining the vehicle dispatch route to the point of dispatch where the autonomous driving vehicle travels based on the required time for each route and the remote assistance request number for each route, when the route search unit searched for a plurality of the routes.

An open vehicle includes a vehicle upper portion, a traveling device, an external sensor, and an ECU. The vehicle upper portion has a riding surface that forms a bottom surface of the riding space and is configured for a plurality of users to ride on. The ECU is configured to control the traveling device to cause the open vehicle to automatically travel. The ECU is configured to execute: a specific person recognition process to use the external sensor to recognize a specific person existing in an outside space; and an automatic travel control process to control the traveling device such that, when the specific person exists within a predetermined distance range, the traveling device executes at least one of moving the open vehicle away from the specific person and increasing a vehicle speed as compared to when the specific person does not exist within the range.

The invention relates to a method for operating a motor vehicle that, due to an error in a main brake system of the motor vehicle, is switched by means of a control circuit from a normal mode to an error mode in which a performance of a drive unit of the motor vehicle is reduced, and at least one navigation function of the motor vehicle is activated. The invention provides that an additional function of the motor vehicle is activated in error mode by means of the control circuit. Moreover, the invention relates to a safety system that is designed to perform the above method, as well as to a motor vehicle equipped with such a safety system.

A method, apparatus and computer program product are provided for identifying and providing dynamic solutions for improvement of autonomous transition regions. In the context of a method, the method receives autonomous transition data associated with at least one autonomous transition region from at least one autonomous vehicle, and based at least on the autonomous transition data, determines one or more dynamic solutions for autonomous transitions within the at least one autonomous transition region. The method also generates a recommendation comprising at least indications of the one or more dynamic solutions and causes transmission of the recommendation to at least one external source.

An automated driving vehicle includes: a communication device which receives a traveling plan from an operation management device provided outside an vehicle; and an automated driving controller which allows an vehicle the controller is associated with to travel autonomously along a traveling route on which a plurality of stations are set so as to fulfill the traveling plan, in which the automated driving controller has a standard plan which prescribes a standard operation schedule of the vehicle the controller is associated with, and the automated driving controller, in a case where the traveling plan has not arrived or is irregular, generates an interim plan on the basis of the standard plan, and allows the vehicle the controller is associated with to travel autonomously so as to fulfill the interim plan.

A vehicle travel assistance method executed by a processor comprises: setting a travel lane in which a subject vehicle travels based on detection information of a sensor equipped in the subject vehicle, identifying a preceding vehicle traveling ahead of a subject vehicle based on detection information of a sensor, calculating, based on the detection information, a first evaluation value indicating a possibility that the subject vehicle can return to the travel lane from an adjacent lane adjacent to the travel lane after overtaking the preceding vehicle, calculating a shortening width of travel time shortened by overtaking the preceding vehicle based on the vehicle speed of the subject vehicle and the vehicle speed of the preceding vehicle, and determining whether or not to overtake the preceding vehicle based on the first evaluation value and the shortening width.