G08G1/005

Multipurpose vehicle lighting

A system includes a processor and a memory. The memory stores program instructions executable by the processor to make a first determination to provide light to operate a vehicle and, based on the first determination, actuate a first set of lights. The memory stores program instructions executable by the processor to make a second determination to provide a communication, and, based on the second determination, actuate a second set of lights to provide the communication.

Multipurpose vehicle lighting

A system includes a processor and a memory. The memory stores program instructions executable by the processor to make a first determination to provide light to operate a vehicle and, based on the first determination, actuate a first set of lights. The memory stores program instructions executable by the processor to make a second determination to provide a communication, and, based on the second determination, actuate a second set of lights to provide the communication.

Communication apparatus, vehicle, computer-readable storage medium, and communication method

Provided is a communication apparatus including: a target specification unit for specifying a position of a target at risk of approaching a moving body; and a communication unit for transmitting, based on the target position specified by the target specification unit, warning information including positional information of an external terminal to output a warning; a program causing a computer to function as: a target specification unit for specifying a position of a target at risk of approaching a moving body; and a communication unit for transmitting, based on the target position specified by the target specification unit, warning information including positional information of an external terminal to output a warning; and a communication method including: specifying a position of a target at risk of approaching a moving body; and transmitting, based on the specified target position, warning information including positional information of an external terminal to output a warning.

EARLY WARNING AND COLLISION AVOIDANCE

Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection. Current motion data received from the sensor about ground transportation entities at or near the intersection is applied to the machine learning model to predict imminent behaviors of the ground transportation entities. An imminent dangerous situation for one or more of the ground transportation entities at or near the intersection is inferred from the predicted imminent behaviors. The wireless communication device sends the warning about the dangerous situation to the device of one of the ground transportation entities.

EARLY WARNING AND COLLISION AVOIDANCE

Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection. Current motion data received from the sensor about ground transportation entities at or near the intersection is applied to the machine learning model to predict imminent behaviors of the ground transportation entities. An imminent dangerous situation for one or more of the ground transportation entities at or near the intersection is inferred from the predicted imminent behaviors. The wireless communication device sends the warning about the dangerous situation to the device of one of the ground transportation entities.

Vehicle Control
20230005375 · 2023-01-05 ·

A computer-implemented method of managing a fleet of autonomous vehicles is provided. The method comprises receiving at least one request for a passenger journey from a client device associated with a passenger and allocating an autonomous vehicle to the passenger from the fleet. Confirmation that the autonomous vehicle has reached the passenger is then received and one or more vehicle status signals are received from the autonomous vehicle. Subsequently, the autonomous vehicle is authorised to proceed with the passenger journey in dependence on the vehicle status signals.

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM

[Object] To provide a new guide method in voice guidance that is capable of coping with even inaccuracy in an obtained user orientation.

[Solving Means] An information processing apparatus according to the present technology includes a control unit. The control unit predicts a user orientation, performs voice guidance that guides a user to a destination on a route to the destination on the basis of the predicted user orientation, calculates a degree of reliability of the user orientation, and switches a method for guiding the user in the voice guidance on the basis of the degree of reliability.

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM

[Object] To provide a new guide method in voice guidance that is capable of coping with even inaccuracy in an obtained user orientation.

[Solving Means] An information processing apparatus according to the present technology includes a control unit. The control unit predicts a user orientation, performs voice guidance that guides a user to a destination on a route to the destination on the basis of the predicted user orientation, calculates a degree of reliability of the user orientation, and switches a method for guiding the user in the voice guidance on the basis of the degree of reliability.

Polarimetric radar system and method for object classification and road condition estimation in stationary applications

A polarimetric radar system for object classification and road condition estimation includes a radar transmitter unit for transmitting radar waves of different polarizations, a radar receiving unit for receiving radar waves of different polarizations, a radar signal generating unit for generating and providing the radar waves to be transmitted, a signal processing circuitry for processing the generated and received radar waves, and a signal evaluation unit. The signal evaluation unit receives processed signals from the signal processing circuitry, estimates values for a set of predetermined object parameters on the basis of the received processed signals, and selects an object class from a plurality of predetermined object classes upon detecting a match of the estimated values with one out of a plurality of predetermined sets of object parameters. The signal evaluation unit is configured to provide information that is indicative of the at least one classified object.

Ride-sharing assistance system, ride-sharing assistance apparatus and ride-sharing assistance method

A ride-sharing assistance system includes a plurality of terminals and a ride-sharing assistance apparatus capable of communicating with each of the plurality of terminals. The ride-sharing assistance apparatus sends, when the number of inquiry signals received from at least two terminals of the plurality of terminals for requesting inquiry about a parking space available at a same destination is greater than a vacancy reference value in accordance with the number of available parking spaces within a certain range from the destination, a suggestion signal for suggesting ride-sharing on a vehicle owned by any one of users of the at least two terminals, from which the inquiry signal has been sent, to each of the at least two terminals from which the inquiry signal has been sent.