Patroness, LLC

Luci Mobility, Inc.

Barry George Dean

Jered Harvey Dean

Dan Alan Preston

Charles C G Cooper

Philip Graham Rowe

Rupak Dasgupta

Alexandra Ernst

Christian Prather

A system and method for providing precise navigation for a motorized mobile system (MMS) in data deprived environments, the system comprising at least one camera that is operably configured to generate one or more of an image of objects in a field-of-view of the sensors, wherein the object is identified and used to enhance navigation or operation of the MMS.

System and method for navigation support for a motorized mobile system

A system and method for a motorized mobile chair include at least one processor of the motorized mobile chair to receive sensor data from one or more sensors of the motorized mobile chair, the sensor data comprising attitude data of the motorized mobile chair, determine a tipping of the motorized mobile chair has occurred based on the attitude data of the motorized mobile chair, transmit an authentication key to a remote server, wherein the authentication key, when authenticated by the remote server, corresponds to a unique user account, and transmit at least one of the attitude data of the motorized mobile chair and a communication identifying the tipping of the motorized mobile chair from the motorized mobile chair to the remote server for storage in a memory in association with the unique user account when the authentication key has been authenticated by the remote server and the at least one processor determines the tipping of the motorized mobile chair has occurred.

Systems and methods for a secure tipping notification for a motorized mobile chair

A system for a motorized mobile chair includes a human machine interface (HMI) to receive one or more user inputs, transmit one or more first control instructions in response to the one or more user inputs, receive one or more second control instructions, and provide haptic feedback through the human machine interface to assist user navigation of the motorized mobile chair in response to the one or more second control instructions. One or more sensors generate sensor data about an area proximate to the motorized mobile chair. At least one processor receives the one or more first control instructions, receives the sensor data from the one or more sensors about the area proximate to the motorized mobile chair, determines one or more states of the motorized mobile chair based on the sensor data, generates the one or more second control instructions based on at least the one or more states of the motorized mobile chair and the one or more first control instructions, and transmits the one or more second control instructions to the human machine interface.

System and method for ground detection for a motorized mobile system

A processing system is for a motorized mobile system that provides powered mobility to one or more users. The processing system comprises at least one sensor to measure one or more kinematic states of an object proximate to the motorized mobile system and at least one processor to use at least one object kinematic model as at least one state estimator. The at least one processor predicts a first kinematic state estimate of the object at a first time based on a prior knowledge of state for the object and a measured kinematic state observed by the sensor at a second time to determine a second kinematic state estimate of the object at the second time. The at least one processor outputs the first kinematic state estimate at the first time from the object kinematic model for use by at least one other process of the motorized mobile system.

Systems and methods for adjustment of a seat of a motorized mobile system

A system and method for a motorized mobile chair use a plurality of sensors having a plurality of sensor types to detect a plurality of objects and generate sensor data about the detected objects, each of the detected objects being a person, the sensor data about the objects comprising a plurality of range measurements to the people and a plurality of bearing measurements to the people. The system has at least one processor to receive the sensor data about the people, group the detected people into a plurality of zones, determine a closest person in each zone, and generate one or more control signals to cause the motorized mobile chair to match a speed and a direction of the closest person in the zone corresponding to a direction of travel of the motorized mobile chair while at least approximately maintaining a selected space to the closest person in the zone corresponding to the direction of travel of the motorized mobile chair.

System and methods for tagging accessibility features with a motorized mobile system

System and method for providing haptic feedback to a power wheelchair user

A system and method for a motorized mobile chair using a plurality of sensors having a plurality of sensor types to detect a plurality of objects and generate sensor data about the detected objects, each of the detected objects being a person, the sensor data about the objects comprising a plurality of range measurements to the people and a plurality of bearing measurements to the people. The system has at least one processor to receive the sensor data about the people, group the detected people into a plurality of zones, determine a closest person in each zone, and generate one or more control signals to cause the motorized mobile chair to match a speed and a direction of the closest person in the zone corresponding to a direction of travel of the motorized mobile chair while at least approximately maintaining a selected space to the closest person in the zone corresponding to the direction of travel of the motorized mobile chair.

Systems and methods for crowd navigation in support of collision avoidance for a motorized mobile system

Motorized mobile system joystick

A processing system for a motorized mobile system includes at least one sensor to measure one or more kinematic states of an object and at least one processor to use at least one state estimation filter and at least one object kinematic model to predict a first kinematic state estimate of the object and output the first predicted kinematic state estimate for use by at least one other process of the motorized mobile system. The processor uses the first predicted kinematic state estimate and the one or more measured kinematic states to determine a second kinematic state estimate of the object and uses the second kinematic state estimate as an input to the state estimation filter to predict another kinematic state estimate of the object.

Systems and methods for predictions of state of objects for a motorized mobile system

A motorized mobile system includes a human machine interface (HMI) to provide control instructions to the system. A controller in the system receives the control instructions and generates a control signal, wherein the generated control signal causes one or more components of the motorized mobile system to respond. One or more sensors generate health data related to a user, wherein the health data is stored in a secure memory connected to the controller, and wherein the stored user health data is used to bias the control signal for the motorized mobile system.

Federated sensor array for use with a motorized mobile system and method of use

Systems and methods are disclosed herein for secure communication of data between motorized mobile systems (MMS) and external devices, systems, networks, and servers. The data may include one or more of user, health, environment, and system data retrieved from one or more sensors located in, on, and around an MMS. The MMS stores and/or transmits the sensor data using secure protocols when the sensor data relates to personal information, such as personal health data, to protect the privacy of the user.

Secure systems architecture for integrated motorized mobile systems

A processing system for a motorized mobile system includes at least one sensor to measure one or more kinematic states of an object and at least one processor to use at least one state estimation filter and at least one object kinematic model to predict a first kinematic state estimate of the object and output the first kinematic state estimate for use by at least one other process of the motorized mobile system. The processor uses the predicted first kinematic state estimate and the one or more measured kinematic states to determine a second kinematic state estimate of the object and uses the second kinematic state estimate as an input to the state estimation filter to predict another kinematic state estimate of the object.

Systems and methods for predictions of state and uncertainty of objects for a motorized mobile system

A system and method for providing safety for a motorized mobile system (MMS) are optimized for accurate object detection, the system comprising at least two sensors that are operably configured to generate one or more of a range measurement and a bearing measurement to an object in a field-of-view of the sensors, wherein the range and bearing measurements have associated uncertainties.

System and methods for sensor integration in support of situational awareness for a motorized mobile system

A system and method for providing safety for a motorized mobile system (MMS) are optimized for accurate object detection, the system comprising at least two sensors that are operably configured to generate one or more of a range measurement and a bearing measurement to an object, wherein the range and bearing measurements have associated uncertainties.

System for accurate object detection with multiple sensors

A system and method for providing safety for a motorized mobile system (MMS) are optimized for accurate object detection, the method comprising generating one or more of a range measurement and a bearing measurement to an object using at least two sensors, wherein the range and bearing measurements have associated uncertainties.

Growing community of inventors

Franklin, TN, United States of America

Barry George Dean