Ronald E. Benson

Bio: Ronald E. Benson is an academic researcher from Florida A&M University. The author has contributed to research in topics: Collision avoidance system. The author has an hindex of 1, co-authored 1 publications receiving 293 citations.

Artificial intelligence valet systems and methods

Abstract: Various examples are described for an artificial intelligence valet system. In one example, among others, a distributed information sharing system can obtain route information associated with a geographic area and provide the route information to a user vehicle in response to a request. In another example, an autonomous user vehicle can receive a request to autonomously proceed to a user defined location; obtain route information; and determine a route to the user defined location using the route information. In another example, a collision avoidance system can determine if an object is in a path of travel of a vehicle based at least in part upon sensory data and maneuver the vehicle based at least in part upon an object determination. In another example, an accident reporting system can determine an occurrence of a violation of a vehicle; obtain recordings of the environment surrounding the vehicle; and report the violation.

Using Autonomous Vehicles in a Taxi Service

Abstract: Technology is described for operating a fleet of autonomous vehicles. A request for a taxi service may be received from a mobile device. The request may include a current location of the mobile device. They request may indicate that the taxi service is to be performed at a current time. An autonomous vehicle may be selected from the fleet of autonomous vehicles to perform the taxi service based in part on an availability of the autonomous vehicle and a proximity between the autonomous vehicle and the current location of the mobile device. Instructions may be provided to the autonomous vehicle to perform the taxi service according to the request. The autonomous vehicle may be configured to provide commands to drive the autonomous vehicle to the current location of the mobile device in order to perform the taxi service.

Vehicle control device mounted on vehicle and method for controlling the vehicle

Abstract: The present invention relates to a vehicle control device mounted on a vehicle, and a method for controlling the vehicle. The vehicle control device includes a communication module configured to receive driving information regarding the vehicle, a display module configured to output visual information on a display region formed on a windshield of the vehicle, and a controller configured to control the display module based on the driving information to output graphic objects guiding a path of driving of the vehicle on a first region of the display region, the display region divided into the first region and a second region. The controller controls the display module based on the driving information to output on the second region at least one of the graphic objects output on the first region.

Parking Autonomous Vehicles

Abstract: Technology is described for parking autonomous vehicles. An autonomous vehicle may receive an instruction to park the autonomous vehicle. The instruction may be received when the autonomous vehicle is in a preselected location. The autonomous vehicle may select at least one parking area that potentially has available parking spaces to park the autonomous vehicle using, in part, a defined set of parking criteria. Commands may be provided to drive the autonomous vehicle to the parking area. The autonomous vehicle may be configured to select an available parking space within the parking area to park the autonomous vehicle. The autonomous vehicle may send a confirmation message after the autonomous vehicle is parked in the available parking space within the parking area. The confirmation message may include a parking location associated with the autonomous vehicle.

Unlock and authentication for autonomous vehicles

Abstract: In one aspect, a vehicle's computing device may receive information identifying a client computing device, a pickup location, and an encryption key. When the vehicle is within a given distance of the pickup location, the computing device uses the encryption key to authenticate the client computing device. When the client computing device is authenticated, the computing device may estimate a first distance between the client computing device and the vehicle based on a strength of a signal received from the client computing device. The computing device may then automatically determine when to unlock the vehicle by selecting between a first distance value and a second distance value. The first value is selected when the first distance is greater than a threshold value, and the second value is selected when the first distance is less than the threshold value. The computing device may unlock the vehicle based on the determination.

Determining Pickup and Destination Locations for Autonomous Vehicles

Abstract: Aspects of the disclosure provide systems and methods for providing suggested locations for pick up and destination locations. Pick up locations may include locations where an autonomous vehicle can pick up a passenger, while destination locations may include locations where the vehicle can wait for an additional passenger, stop and wait for a passenger to perform some task and return to the vehicle, or for the vehicle to drop off a passenger. As such, a request for a vehicle may be received from a client computing device. The request may identify a first location. A set of one or more suggested locations may be selected by comparing the predetermined locations to the first location. The set may be provided to the client computing device.