| Class / Patent application number | Description | Number of patent applications / Date published |
|---|
| 701027000 | Artificial intelligence (e.g., fuzzy logic) | 22 |
| 20080294309 | Autonomous Agriculture Platform Guidance System - A guidance system for an agriculture platform that is capable of making decisions concerning the platforms direction and velocity regarding the pathway the platform is moving along as well as obstacles in the path of the platform, is provided. The autonomous agricultural platform guidance system and method will make it possible for small scale farming to take up automated mechanical farming practices which are currently only practical for large scale farming thus improving land utilization efficiency while lowering manpower costs dramatically. | 11-27-2008 |
| 20090138151 | METHOD AND SYSTEM FOR LOCATING AND NAVIGATING A TARGET - Techniques and methodologies are disclosed for minimizing inaccuracies in distance measurements and location determinations for autonomous vehicles or targets ranging to subsets of beacons. Such techniques and methodologies can be used to better control (e.g., navigate) an autonomous vehicle in an area and/or along a pathway, or trajectory. | 05-28-2009 |
| 20100138097 | Surface Inspecting Device - A modular surface inspecting device is provided. A modular surface inspecting device comprises a computing layer having a processing unit in which a modular service-oriented software is installed; a detecting layer having a plurality of sensors obtaining a plurality of surrounding information; and a dynamic layer carrying the computing layer and the detecting layer and controlled by a controlling command generated by the computing layer according to the plurality of surrounding information. | 06-03-2010 |
| 20110060492 | UNITARY ROLLING VEHICLE - Unitary rolling vehicle including a rolling member ( | 03-10-2011 |
| 20110288714 | AUTONOMOUS NAVIGATION SYSTEM AND METHOD FOR A MANEUVERABLE PLATFORM - An automated method for autonomous navigation of a maneuverable platform is disclosed. The method includes providing an autonomous navigation system that includes a situation awareness module to receive data from one or more sensors on one or more identifying parameters selected from the group of identifying parameters that includes position, course and speed, relating to the platform and obstacles in the vicinity of the platform. The platform also includes a decision module to choose course and speed for the platform based on the identifying parameters of the obstacles in the vicinity of the platform and the data on the position of the platform. The method further includes providing the decision module with information on a mission that includes at least one task assigned to the platform; and periodically obtaining the data and choosing a preferred option using the decision module, based on the identifying parameters, by assigning, for each option from a set of options, each option defining a distinct combination of course and speed, a grade which is indicative of the desirability of that option with respect to each of the obstacles and with respect to each of a plurality of objectives, for each option summing the grades assigned to that option with respect to all obstacles, wherein the preferred option is the option whose summed grades is indicative of the greatest desirability of that option. | 11-24-2011 |
| 20120010772 | Advanced Behavior Engine - A method of generating a command for a remote vehicle controller by taking in goals and constraints compiled from behavior inputs and action models, and controlling resources by producing low-level actuator commands that realize goals expressed by the behaviors. The method comprises: executing a command based on a kinodynamic fixed depth motion planning (KFDMP) algorithm to plan paths with longer time horizons and to use incremental feedback from evaluators to select a best feasible course of action; and feeding the selected best feasible course of action as servo commands to a drive system or a manipulation system of the remote vehicle controller. The selected best feasible course of action comprises goal-achieving actions within a fixed time horizon of several seconds from the current time each time a course of action is selected. | 01-12-2012 |
| 20130131910 | AUTONOMOUS MOBILE BODY AND CONTROL METHOD OF SAME - An autonomous mobile body is configured to flexibly avoid obstacles. The mobile body has a movement mechanism configured to translate in a horizontal plane and rotate around a vertical axis, and the distance to an obstacle is derived for each directional angle using an obstacle sensor. A translational potential of the mobile body and a rotational potential of the mobile body for avoiding interference with the obstacle are generated, based on the distance from the autonomous mobile body to the obstacle at each directional angle. An amount of control relating to a translational direction and a translational velocity of the mobile body and an amount of control relating to a rotational direction and an angular velocity of the mobile body are generated based on the generated potentials, and the movement mechanism is driven. | 05-23-2013 |
| 20140081506 | Advanced Behavior Engine - A method of commanding a remote vehicle includes executing a command on a controller of the remote vehicle based on a kinodynamic fixed depth motion planning algorithm to use incremental feedback from evaluators to select a best feasible action. The method also includes determining servo commands corresponding to the best feasible action for one or more actuators of a drive system or a manipulation system of the remote vehicle and commanding the one or more actuators of the remote vehicle based on the servo commands. The best feasible action includes actions within a fixed time horizon of several seconds from a current time each time a feasible action is selected. | 03-20-2014 |
| 20140129075 | Vehicle Control Using Modeled Swarming Behavior - A system for controlling a group of vehicles as a whole in which each individual member of the group receives telemetry from other members of the group or from the group as a whole, and makes decisions regarding the setting and/or changing of local operating parameters based on the received telemetry. | 05-08-2014 |
| 20140277901 | Use of Uncertainty Regarding Observations of Traffic Intersections to Modify Behavior of a Vehicle - Methods and devices for using uncertainty regarding observations of traffic intersections to modify behavior of a vehicle are disclosed. In one embodiment, an example method includes determining a state of a traffic intersection using information from one or more sensors of a vehicle. The vehicle may be configured to operate in an autonomous mode. The method may also include determining an uncertainty associated with the determined state of the traffic intersection. The method may further include controlling the vehicle in the autonomous mode based on the determined state of the traffic intersection and the determined uncertainty. | 09-18-2014 |
| 20140297093 | AUTONOMOUS VEHICLE AND METHOD OF ESTIMATING SELF POSITION OF AUTONOMOUS VEHICLE - An autonomous vehicle includes: a first sensor which obtains environmental information on surrounding environment of the autonomous vehicle; and a control unit which controls a drive unit based on a self position. The control unit includes: a first estimation unit which calculates a first estimate value indicating an estimated self position, by estimation using a probabilistic method based on the environmental information; and a second estimation unit which calculates a second estimate value indicating an estimated self position, by estimation using a matching method based on the environmental information, and the control unit changes, according to the first estimate value, a second estimate range for the calculating of the second estimate value by the second estimation unit, and controls the drive unit using the second estimate value as the self position. | 10-02-2014 |
| 20140316636 | MOVING ROBOT, USER TERMINAL APPARATUS AND CONTROL METHOD THEREOF - A moving robot configured to generate a map of an environment of a territory and allow a user to set a structure of the territory and information on the map used for a location-based service and to use a more intuitively intelligent service is provided. The moving robot includes an operation performer configured to move around a territory and perform a certain operation, a detector configured to collect map building information of the territory, and a controller configured to control the moving robot to move to a set particular area within the territory by referring to the map information of the territory generated based on the collected map building information and control the operation performer to perform the operation with respect to the particular area. | 10-23-2014 |
| 20160161950 | APPARATUS FOR CONTROLLING A LAND VEHICLE WHICH IS SELF-DRIVING OR PARTIALLY SELF-DRIVING - Apparatus for controlling a land vehicle which is self-driving or partially self-driving, which apparatus comprises a coarse tuning assembly ( | 06-09-2016 |
| 20160167652 | Route Risk Mitigation | 06-16-2016 |
| 20160170414 | Learning Signs From Vehicle Probes | 06-16-2016 |
| 20160187880 | DRIVING CONTROL SYSTEM AND DYNAMIC DECISION CONTROL METHOD THEREOF - A driving control system mounted in a vehicle receives multiple pieces of information through a status detection module and a vehicle safety determination module thereof, performs a safety and collision analysis to predict whether a driving danger exists, when a driving danger exists, instructs an emergency control module to calculate an optimal barrier-avoiding path and send a corresponding control signal to a vehicle control module, and when no driving danger exists, instructs a normal control module to perform an adaptive algorithm according to different road conditions and driver's behavior information and send a control signal to the vehicle control module. Accordingly, the driving control system can instantly plan a barrier-avoiding path according the degree of emergency and collision danger to achieve the goal of enhancing safety and stability of the vehicle and driver in driving. | 06-30-2016 |
| 20190143990 | APPARATUS AND METHOD FOR ESTIMATING DRIVER READINESS AND METHOD AND SYSTEM FOR ASSISTING DRIVER | 05-16-2019 |
| 20190146491 | IN-VEHICLE SYSTEM TO COMMUNICATE WITH PASSENGERS | 05-16-2019 |
| 20190146493 | Method And Apparatus For Autonomous System Performance And Benchmarking | 05-16-2019 |
| 20190146497 | Sparse Convolutional Neural Networks | 05-16-2019 |
| 20190146511 | SAFETY SYSTEM FOR AUTONOMOUS OPERATION OF OFF-ROAD AND AGRICULTURAL VEHICLES USING MACHINE LEARNING FOR DETECTION AND IDENTIFICATION OF OBSTACLES | 05-16-2019 |
| 20190146514 | APPARATUS FOR AUTONOMOUS DRIVING ALGORITHM DEVELOPMENT USING DAILY DRIVING DATA AND METHOD USING THE SAME | 05-16-2019 |
