Ford Global Technolgoies, LLC

Mahrdad Damsaz

Mostafa Parchami

Krithika Swaminathan

Kathryn Hamilton

Vivekananda Krishnamurthy

Raymond C Siciak

Chandana Neerukonda

Hamed Babazadehrokni

Ray C Siciak

Techniques and examples pertaining to baggage transportation in a vehicle-sharing environment are described. An automotive vehicle may have a plurality of baggage compartments each respectively having a size capacity and a weight capacity. The vehicle may also have a plurality of sensors capable of monitoring a loading situation of the plurality of baggage compartments. The vehicle may further have a memory element capable of storing capacity data representing the loading situation, as well as a processor capable of updating the capacity data in an event that the loading situation is changed due to a baggage having been loaded to, or unloaded from, a baggage compartment of the plurality of the baggage compartment. The automotive vehicle may be an autonomous ride-sharing vehicle.

Baggage transportation using autonomous vehicle

Detection of an impact to a vehicle is based on data received from one of (a) one or more infrastructure sensors included in an infrastructure element or (b) the vehicle. Verification of the impact is determined by determining that data received from the other of the infrastructure sensors or the vehicle (a) detects the impact and is verified or (b) does not detect the impact and is unverified. A message is transmitted to the vehicle including the verification of the impact and one of (a) a request to operate to a predetermined location based on the impact being verified or (b) a notification to continue a current operation based on the impact being unverified.

Vehicle impact detection

A planned path is received from a vehicle along with a status of a perception subsystem in the vehicle. A remedial action is initiated determining that the status of the perception subsystem is healthy and the planned path deviates by more than a threshold from a detected path.

Vehicle monitoring and control infrastructure

A ride-share system is disclosed. The system may comprise: one or more processors and memory storing instructions that are executable by the one or more processors, the instructions comprising: while operating a vehicle in an autonomous mode, determine a transit stop; based on the determination, attempt to establish communication with a smart node; when communication is established with the smart node, query the smart node regarding whether to actuate a vehicle door to an open position; and when communication is not established with the smart node, determine whether to actuate the vehicle door to the open position.

Ingress and egress for autonomous vehicle

A computer includes a processor and a memory. The memory stores instructions executable by the processor to receive respective object data including an object location from each of three or more vehicles, based on determining an inconsistency of the object data received from a first vehicle with respect to respective object data of the other vehicles, perform an action.

Detection of attacks on vehicle networks

Exposure to ultrasound energy emitted by remote object detection systems on vehicles is reduced for vehicle occupants. An automotive vehicle has a passenger cabin and a remote sensing system including ultrasonic transceivers mounted for sensing external objects. An ultrasonic microphone is disposed to sense an ultrasonic wave entering the passenger cabin at greater than 30 kHz. An antinoise processor calculates an antinoise signal adapted to at least partially cancel the ultrasonic wave at a predetermined location in the cabin. An amplifier is coupled to the processor for amplifying the antinoise signal by a predetermined gain. An ultrasonic speaker is coupled to the amplifier to project the antinoise signal into the predetermined location to attenuate the ultrasonic wave at the predetermined location.

Ultrasonic noise cancellation in vehicular passenger compartment

Remote object detection in an automotive vehicle includes an ultrasonic sensor for emitting ultrasonic bursts from an ultrasonic transducer at a standard rate. At least one object is tracked which reflects the ultrasonic bursts to the sensor. The transducer is adaptively set to emit ultrasonic bursts at a reduced rate which is less than the standard rate based on a result of the object tracking. In one embodiment, the ultrasonic bursts are set at the reduced rate when the tracked object is maintaining a stable relative position. The stable relative position may be comprised of the tracked object having a relative velocity less than a threshold. In another embodiment, extrinsic ultrasonic bursts originating from the tracked object and subsequent echoes between the automotive vehicle and the tracked object can be used by the vehicle to monitor the tracked object while emission of bursts from the vehicle are switched off.

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Dexter, MI, United States of America

Mahrdad Damsaz