Patents by Inventor Jianbo Lu
Jianbo Lu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20210053584Abstract: A vehicle has an accelerator pedal in communication with a prime mover, a transmission, and a controller. The controller is configured to, in response to receiving a first input indicative of a vehicle state and a second input indicative of a curve along a vehicle path within a predetermined time interval, downshift the transmission and modify a driver torque request map associated with the accelerator pedal to reduce a percentage of pedal travel associated with positive drive torque. A method of controlling a vehicle includes downshifting a transmission and modifying a driver torque request map associated with an accelerator pedal to reduce a percentage of pedal travel associated with positive drive torque when a vehicle state and a curve from an electronic horizon system predict a vehicle lateral acceleration in the curve being above a first threshold value.Type: ApplicationFiled: August 23, 2019Publication date: February 25, 2021Inventors: Jonathan SULLIVAN, Jianbo LU, Sanghyun HONG, Zhengyu DAI
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Patent number: 10926779Abstract: A vehicle has an accelerator pedal in communication with a prime mover, a transmission, and a controller. The controller is configured to, in response to receiving a first input indicative of a vehicle state and a second input indicative of a curve along a vehicle path within a predetermined time interval, downshift the transmission and modify a driver torque request map associated with the accelerator pedal to reduce a percentage of pedal travel associated with positive drive torque. A method of controlling a vehicle includes downshifting a transmission and modifying a driver torque request map associated with an accelerator pedal to reduce a percentage of pedal travel associated with positive drive torque when a vehicle state and a curve from an electronic horizon system predict a vehicle lateral acceleration in the curve being above a first threshold value.Type: GrantFiled: August 23, 2019Date of Patent: February 23, 2021Assignee: Ford Global Technologies, LLCInventors: Jonathan Sullivan, Jianbo Lu, Sanghyun Hong, Zhengyu Dai
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Patent number: 10919475Abstract: Crash detection in a road vehicle includes determining an impact location. Acceleration and yaw rate are measured, and occurrence of an impact is detected by comparing a total acceleration to an impact threshold. An impact angle is determined according to an arctangent of a ratio of lateral and longitudinal accelerations. A center-of-gravity to impact distance is determined according to vehicle mass, moment of inertia, acceleration, and yaw rate. When the yaw rate is less than a yaw threshold and the impact angle is within a predetermined range of an integer multiple of 90°, then the impact location is determined in response to a projection of the impact distance selected according to signs of the accelerations. Otherwise, the impact location is determined in response to a projection of the impact distance selected according to signs of the accelerations and a sign of the yaw rate.Type: GrantFiled: March 15, 2016Date of Patent: February 16, 2021Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Smruti R. Panigrahi, Jianbo Lu, Sanghyun Hong, Jonathan Scott, Dimitar P. Filev
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Patent number: 10916074Abstract: Data describing operation of a vehicle is provided to a deep neural network. A vehicle wheel impact event is determined based on output of the deep neural network. Alternatively or additionally, it is possible to determine the wheel impact event based on output of a threshold based algorithm that compares vehicle acceleration and the velocity to one or more thresholds.Type: GrantFiled: July 16, 2018Date of Patent: February 9, 2021Assignee: Ford Global Technologies, LLCInventors: Smruti Ranjan Panigrahi, Dawei Luo, Jianbo Lu, Dexin Wang
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Patent number: 10917099Abstract: Disclosed are a method and a device for improving an output accuracy of a digital-to-analog converter. The method includes: calculating an output error of the digital-to-analog converter based on output accuracy and an input error of the digital-to-analog converter; obtaining at least one of the output error, comparing the at least one output error against a preset threshold, and adjusting an integer input value of the digital-to-analog converter according to a comparison result.Type: GrantFiled: January 22, 2017Date of Patent: February 9, 2021Assignee: GUANGDONG DAPU TELECOM TECHNOLOGY CO., LTD.Inventors: Hui Zhang, Zhong Yi, Jianbo Lu, Wencai Qiu
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Patent number: 10882411Abstract: A method includes controlling charging a battery pack of an electrified vehicle, via a control system of the electrified vehicle, based on climate conditions, traffic conditions, and learned driving habits of a driver of the electrified vehicle. The control system is configured to create a smart charging schedule for either adding or not adding an additional charge to the battery pack in anticipation of an expected upcoming drive cycle.Type: GrantFiled: January 18, 2018Date of Patent: January 5, 2021Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Xiao Guang Yang, James Matthew Marcicki, Pratima Addepalli, Devang Bhalchandra Dave, Jianbo Lu
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Publication number: 20200401148Abstract: The present invention extends to methods, systems, and computer program products for path planning for autonomous moving devices. Aspects of the invention include planning a path for a mobile robot to move autonomously in an environment that includes other static and moving obstacles, such as, for example, other mobile devices and pedestrians, without reference to a prior map of the environment. A planned path for a mobile robot can be determined, adjusted, and adapted using diffusion maps to avoid collisions while making progress towards a global destination. Path planning can include using transition probabilities between grid points to find a feasible path through parts of the environment to make progress towards the global destination. In one aspect, diffusion maps are used in combination with a receding horizon approach, including computing diffusion maps at specified time intervals.Type: ApplicationFiled: January 24, 2018Publication date: December 24, 2020Inventors: Sanghyun HONG, Jianbo LU, Dimitar FILEV
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Patent number: 10824155Abstract: The present disclosure extends to methods, systems, and computer program products for predicting the movement intent of objects. In one aspect, a mobile robot predicts the movement intent of pedestrians from past pedestrian trajectory data and landmark proximity. In another aspect, a host mobile robot predicts the movement intent of other robots/vehicles using motion analysis models for different driving behaviors, including curve negotiation, zigzagging, rapid acceleration/deceleration, and tailgating. In a further aspect, a mobile robot can self-predict movement intent and share movement intent information with surrounding robots/vehicles (e.g., through vehicle-to-vehicle (V2V) communication). The mobile robot can self-predict future movement by comparing the operating values calculated from the monitored components to the operating limits of the mobile robot (e.g., an adhesion limit between the tires and ground).Type: GrantFiled: August 22, 2018Date of Patent: November 3, 2020Assignee: Ford Global Technologies, LLCInventors: Sanghyun Hong, Justin Miller, Jianbo Lu
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Publication number: 20200316789Abstract: The present disclosure is directed toward a robotic system that includes a robotic arm, a robotic end-effector, a lock, and a control system. The robotic end-effector is detachably coupled to the robotic arm and includes a locomotion device to move the robotic end-effector independent of the robotic arm. The lock is disposed with the robotic arm and robotic end-effector, and is operable to detach and attach the robotic arm and the robotic end-effector. The control system is configured to control the robotic arm and the robotic end-effector, and to operate the lock to detach and attach the robotic arm and the robotic end-effector.Type: ApplicationFiled: April 2, 2019Publication date: October 8, 2020Applicant: Ford Global Technologies, LLCInventors: Raj Sohmshetty, David Jeffeory Berels, Anthony Mario D'Amato, Jianbo Lu
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Publication number: 20200310436Abstract: A computer includes a processor and a memory, the memory including instructions executable by the processor to identify a mobile vehicle position based on global position coordinates of a stationary location transmitter and a localized trajectory of a vehicle that is based on vehicle component data collected after passing the stationary location transmitter and to actuate a vehicle component based on the identified vehicle position.Type: ApplicationFiled: March 25, 2019Publication date: October 1, 2020Applicant: Ford Global Technologies, LLCInventors: SMRUTI PANIGRAHI, JUSTIN MILLER, SANGHYUN HONG, JIANBO LU
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Publication number: 20200249698Abstract: This disclosure is generally directed to systems and methods for using an autonomous vehicle to provide navigation assistance to a delivery robot. In one exemplary implementation, the delivery robot is transported by the autonomous vehicle to a delivery destination such as a residence or a workplace. The delivery robot disembarks at the delivery destination for delivering a package to a recipient at the residence or workplace. A computer system in the autonomous vehicle communicates with a navigation assistance system of the autonomous vehicle to obtain information pertaining to a terrain between the autonomous vehicle and a package drop-off spot at the residence or workplace, and uses the information to generate a route map of the terrain. The autonomous vehicle may transmit the route map and/or navigation instructions derived from the route map, to the delivery robot to assist the delivery robot navigate around obstacles and reach the package drop-off spot.Type: ApplicationFiled: February 4, 2019Publication date: August 6, 2020Applicant: Ford Global Technologies, LLCInventors: Jianbo Lu, Justin Miller, Sanghyun Hong
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Publication number: 20200127673Abstract: Disclosed are a method and a device for improving an output accuracy of a digital-to-analog converter. The method includes: calculating an output error of the digital-to-analog converter based on output accuracy and an input error of the digital-to-analog converter; obtaining at least one of the output error, comparing the at least one output error against a preset threshold, and adjusting an integer input value of the digital-to-analog converter according to a comparison result.Type: ApplicationFiled: January 22, 2017Publication date: April 23, 2020Applicant: GUANGDONG DAPU TELECOM TECHNOLOGY CO., LTD.Inventors: Hui ZHANG, Zhong YI, Jianbo LU, Wencai QIU
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Publication number: 20200122732Abstract: A computer in a vehicle that includes a processor and memory storing instructions executable by the processor. The instruction may include: receive an indication that the vehicle door is ajar; receive sensor data from a rotational-rate sensor in a vehicle; and based on the indication and sensor data, determine a traversal event.Type: ApplicationFiled: August 11, 2017Publication date: April 23, 2020Inventors: Dawei LUO, Jianbo LU
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Publication number: 20200064827Abstract: Systems, methods, and computer-readable media are disclosed for enhanced human-robot interactions. A device such as a robot may send one or more pulses. The device may identify one or more reflections associated with the one or more pulses. The device may determine, based at least in part on the one or more reflections, a cluster. The device may associate the cluster with an object identified in an image. The device may determine, based at least in part on an image analysis of the image, a gesture associated with the object. The device may determine, based at least in part on the gesture, a command associated with an action. The device may to perform the action.Type: ApplicationFiled: August 24, 2018Publication date: February 27, 2020Applicant: Ford Global Technologies, LLCInventors: Justin Miller, Sanghyun Hong, Jianbo Lu
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Publication number: 20200064850Abstract: The present disclosure extends to methods, systems, and computer program products for predicting the movement intent of objects. In one aspect, a mobile robot predicts the movement intent of pedestrians from past pedestrian trajectory data and landmark proximity. In another aspect, a host mobile robot predicts the movement intent of other robots/vehicles using motion analysis models for different driving behaviors, including curve negotiation, zigzagging, rapid acceleration/deceleration, and tailgating. In a further aspect, a mobile robot can self-predict movement intent and share movement intent information with surrounding robots/vehicles (e.g., through vehicle-to-vehicle (V2V) communication). The mobile robot can self-predict future movement by comparing the operating values calculated from the monitored components to the operating limits of the mobile robot (e.g., an adhesion limit between the tires and ground).Type: ApplicationFiled: August 22, 2018Publication date: February 27, 2020Applicant: Ford Global Technologies, LLCInventors: Sanghyun Hong, Justin Miller, Jianbo Lu
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Publication number: 20200020181Abstract: Data describing operation of a vehicle is provided to a deep neural network. A vehicle wheel impact event is determined based on output of the deep neural network. Alternatively or additionally, it is possible to determine the wheel impact event based on output of a threshold based algorithm that compares vehicle acceleration and the velocity to one or more thresholds.Type: ApplicationFiled: July 16, 2018Publication date: January 16, 2020Applicant: Ford Global Technologies, LLCInventors: SMRUTI RANJAN PANIGRAHI, DAWEI LUO, JIANBO LU, DEXIN WANG
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Patent number: 10513270Abstract: A system may include a plurality of vehicle sensor and a computer comprising a processor and memory storing instructions executable by the processor. One of the instruction may comprise to determine a driving responsiveness (DR) value using a weighted sum comprising indices of a transition probability matrix (Q), Q being derived from likelihood of transition data (?) between a plurality of driving modes from a set of interacting multiple model (IMM) instruction.Type: GrantFiled: May 4, 2018Date of Patent: December 24, 2019Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Sanghyun Hong, Jianbo Lu, Dimitar Petrov Filev
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Patent number: 10486699Abstract: A vehicle system includes a processor with access to a memory storing instructions executable by the processor. The instructions include determining whether an autonomous host vehicle can traverse an environmental obstacle, and if the autonomous host vehicle can traverse the environmental obstacle, controlling an active suspension system in accordance with the environmental obstacle and controlling the autonomous host vehicle to traverse the environmental obstacle.Type: GrantFiled: September 28, 2017Date of Patent: November 26, 2019Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Jianbo Lu, Davor David Hrovat, Hongtei Eric Tseng
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Publication number: 20190337522Abstract: A system may include a plurality of vehicle sensor and a computer comprising a processor and memory storing instructions executable by the processor. One of the instruction may comprise to determine a driving responsiveness (DR) value using a weighted sum comprising indices of a transition probability matrix (Q), Q being derived from likelihood of transition data (?) between a plurality of driving modes from a set of interacting multiple model (IMM) instruction.Type: ApplicationFiled: May 4, 2018Publication date: November 7, 2019Applicant: Ford Global Technologies, LLCInventors: SANGHYUN HONG, JIANBO LU, DIMITAR PETROV FILEV
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Patent number: 10417837Abstract: A method for identifying vehicle vibration includes receiving signals indicative of a vehicle vibration from one or more vehicle sensors while the vehicle is in operation. The method also includes determining a magnitude of the vehicle vibration at one or more target frequency bands. The method additionally includes determining whether the vehicle vibration is associated with one or more wheels of the vehicle based on the magnitude of the vehicle vibration at the one or more target frequency bands. The method further includes generating a diagnostic recommendation when the vehicle vibration is associated with the one or more wheels of the vehicle.Type: GrantFiled: September 22, 2016Date of Patent: September 17, 2019Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Joseph F. Stanek, Jianbo Lu, Timothy Mark Feldkamp, Ryan Lee Baker, Fling Finn Tseng, Kelly Trost, David Scott Rohweder, Daniel Haakenson