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).

  • Publication number: 20210096564
    Abstract: Autonomous vehicle fleet management systems are provided herein. An example method includes receiving, via a control module of a first electric vehicle, trip characteristics data associated with a second electric vehicle. The trip characteristics data includes information such as vehicle location, a trip destination, and a route plan associated with the second electric vehicle. The control module or a connected control server selects a charging station for recharging the first electric vehicle based at least in part on the trip characteristics data and at least one route optimization option associated with the first electric vehicle. The example method further includes determining a travel route to the charging station and navigating the first electric vehicle to the charging station along the travel route using an autonomous vehicle navigation system associated with the control module.
    Type: Application
    Filed: September 30, 2019
    Publication date: April 1, 2021
    Applicant: Ford Global Technologies, LLC
    Inventors: Smruti Panigrahi, Justin Miller, Sanghyun Hong, Jianbo Lu
  • Patent number: 10948907
    Abstract: 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: Grant
    Filed: August 24, 2018
    Date of Patent: March 16, 2021
    Assignee: Ford Global Technologies, LLC
    Inventors: Justin Miller, Sanghyun Hong, Jianbo Lu
  • Publication number: 20210070294
    Abstract: A bake-steering apparatus for controlling autonomous navigation of an electric scooter includes at least one electric motor coupled to at least one wheel of the scooter to provide driving power to enable forward momentum of the scooter, at least a pair of brake pads on the scooter such that each brake pad is adapted to make mechanical braking contact with respective ones of the wheels to provide navigational steering of the scooter, and a computational module on the scooter and electrically connected to each brake pad. The computational module is adapted to receive electrical signals and compute them into corresponding braking commands so as to determine the mechanical braking contact to generate corresponding slowing and turning of the forward momentum of the scooter so as to provide navigational steering of the scooter.
    Type: Application
    Filed: September 5, 2019
    Publication date: March 11, 2021
    Applicant: Ford Global Technologies, LLC
    Inventors: Sanghyun Hong, Jianbo Lu, Justin Miller, Smruti Panigrahi, Timothy Feldkamp, Zhijun Han
  • Publication number: 20210064059
    Abstract: Systems and methods are provided herein for managing a transportation device fleet using teleoperation. Teleoperation may be beneficial for performing fleet management tasks such as rebalancing, relocation of devices to charging stations, and/or assisting devices operating autonomously that encounter obstacles and are unable to proceed autonomously.
    Type: Application
    Filed: August 27, 2019
    Publication date: March 4, 2021
    Applicant: Ford Global Technologies, LLC
    Inventors: Smruti Panigrahi, Justin Miller, Timothy Feldkamp, Sanghyun Hong, Jianbo Lu
  • Publication number: 20210053584
    Abstract: 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: Application
    Filed: August 23, 2019
    Publication date: February 25, 2021
    Inventors: Jonathan SULLIVAN, Jianbo LU, Sanghyun HONG, Zhengyu DAI
  • Patent number: 10926779
    Abstract: 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: Grant
    Filed: August 23, 2019
    Date of Patent: February 23, 2021
    Assignee: Ford Global Technologies, LLC
    Inventors: Jonathan Sullivan, Jianbo Lu, Sanghyun Hong, Zhengyu Dai
  • Patent number: 10919475
    Abstract: 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: Grant
    Filed: March 15, 2016
    Date of Patent: February 16, 2021
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Smruti R. Panigrahi, Jianbo Lu, Sanghyun Hong, Jonathan Scott, Dimitar P. Filev
  • Patent number: 10916074
    Abstract: 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: Grant
    Filed: July 16, 2018
    Date of Patent: February 9, 2021
    Assignee: Ford Global Technologies, LLC
    Inventors: Smruti Ranjan Panigrahi, Dawei Luo, Jianbo Lu, Dexin Wang
  • Patent number: 10917099
    Abstract: 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: Grant
    Filed: January 22, 2017
    Date of Patent: February 9, 2021
    Assignee: GUANGDONG DAPU TELECOM TECHNOLOGY CO., LTD.
    Inventors: Hui Zhang, Zhong Yi, Jianbo Lu, Wencai Qiu
  • Patent number: 10882411
    Abstract: 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: Grant
    Filed: January 18, 2018
    Date of Patent: January 5, 2021
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Xiao Guang Yang, James Matthew Marcicki, Pratima Addepalli, Devang Bhalchandra Dave, Jianbo Lu
  • Publication number: 20200401148
    Abstract: 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: Application
    Filed: January 24, 2018
    Publication date: December 24, 2020
    Inventors: Sanghyun HONG, Jianbo LU, Dimitar FILEV
  • Patent number: 10824155
    Abstract: 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: Grant
    Filed: August 22, 2018
    Date of Patent: November 3, 2020
    Assignee: Ford Global Technologies, LLC
    Inventors: Sanghyun Hong, Justin Miller, Jianbo Lu
  • Publication number: 20200316789
    Abstract: 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: Application
    Filed: April 2, 2019
    Publication date: October 8, 2020
    Applicant: Ford Global Technologies, LLC
    Inventors: Raj Sohmshetty, David Jeffeory Berels, Anthony Mario D'Amato, Jianbo Lu
  • Publication number: 20200310436
    Abstract: 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: Application
    Filed: March 25, 2019
    Publication date: October 1, 2020
    Applicant: Ford Global Technologies, LLC
    Inventors: SMRUTI PANIGRAHI, JUSTIN MILLER, SANGHYUN HONG, JIANBO LU
  • Publication number: 20200249698
    Abstract: 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: Application
    Filed: February 4, 2019
    Publication date: August 6, 2020
    Applicant: Ford Global Technologies, LLC
    Inventors: Jianbo Lu, Justin Miller, Sanghyun Hong
  • Publication number: 20200127673
    Abstract: 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: Application
    Filed: January 22, 2017
    Publication date: April 23, 2020
    Applicant: GUANGDONG DAPU TELECOM TECHNOLOGY CO., LTD.
    Inventors: Hui ZHANG, Zhong YI, Jianbo LU, Wencai QIU
  • Publication number: 20200122732
    Abstract: 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: Application
    Filed: August 11, 2017
    Publication date: April 23, 2020
    Inventors: Dawei LUO, Jianbo LU
  • Publication number: 20200064850
    Abstract: 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: Application
    Filed: August 22, 2018
    Publication date: February 27, 2020
    Applicant: Ford Global Technologies, LLC
    Inventors: Sanghyun Hong, Justin Miller, Jianbo Lu
  • Publication number: 20200064827
    Abstract: 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: Application
    Filed: August 24, 2018
    Publication date: February 27, 2020
    Applicant: Ford Global Technologies, LLC
    Inventors: Justin Miller, Sanghyun Hong, Jianbo Lu
  • Publication number: 20200020181
    Abstract: 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: Application
    Filed: July 16, 2018
    Publication date: January 16, 2020
    Applicant: Ford Global Technologies, LLC
    Inventors: SMRUTI RANJAN PANIGRAHI, DAWEI LUO, JIANBO LU, DEXIN WANG