Abstract: The present disclosure relates to a method and apparatus for knowledge graph construction, storage medium and electronic device. The method for knowledge graph construction, comprises: identifying an entity concept from a title text of a target web page and at least one entity corresponding to the entity concept from a body text of the target web page; constructing a syntax parse tree of the title text based on syntax parse rules of a language to which the title text belongs, and determining, from the syntax parse tree, a modifier for modifying the entity concept; and generating a knowledge graph based on the entity concept, the modifier, and the at least one entity. Through the solution of the present disclosure, knowledge graphs with high accuracy and high recall rates are constructed without structured processing on target web pages.

Abstract: Systems and methods are provided for controlling an autonomous vehicle. A method includes using a lateral controller system for determining a vehicle's curvature. A longitudinal controller system is used for determining desired vehicle acceleration. The longitudinal controller system uses a control loop with respect to a velocity error and a feedforward term. Commands are generated based on the output of the lateral controller system and the longitudinal controller system.

Abstract: A method includes identifying a current position of the vehicle, using sensor data; generating, via a processor, an initial corridor seeding based upon the current position of the vehicle and physical characteristics of the road, without consideration of any other objects on the roadway; identifying a plurality of objects along a first side of the roadway, the first side including a side of the roadway in which the vehicle is traveling, using the sensor data; generating, via the processor, a target first boundary for the corridor based on the identified plurality of objects along the first side of the roadway; generating, via the processor, a target second boundary on a second side of the roadway, opposite the first side; and adjusting, via the processor, the initial corridor seeding based on the target first and second boundaries, thereby generating the corridor of travel for the vehicle along the roadway.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, an obstacle management method includes receiving, via sensing devices, sensor data relating to an environment associated with a vehicle, and determining, with the sensor data, the presence of an obstacle that at least partially obstructs an intended path of the vehicle in a first lane adjacent to a second lane and at least partially occludes a view of the second lane by a first sensing device. The method further includes positioning the vehicle with respect to the obstacle to improve the view of the second lane by the first sensing device without significantly obstructing the second lane, determining a second path that circumnavigates the obstacle and rejoins the intended path, and monitoring the opposing lane via the first sensing device to determine when the second path is clear.

Abstract: Systems and method are provided for controlling an autonomous vehicle. In one embodiment, a method includes: receiving sensor data from one or more sensors of the vehicle; processing, by a processor, the sensor data to determine a cyclist in proximity to the vehicle; in response to the determined cyclist, selecting, by the processor, a behavioral mode from a plurality of behavioral modes; adjusting, by the processor, at least one control parameter based on the selected behavioral mode; and controlling the autonomous vehicle and/or a notification light based on the at least one control parameter.

Abstract: Systems and methods are provided for controlling an autonomous vehicle. A method includes using a lateral controller system for determining a vehicle's curvature. A longitudinal controller system is used for determining desired vehicle acceleration. The longitudinal controller system uses a control loop with respect to a velocity error and a feedforward term. Commands are generated based on the output of the lateral controller system and the longitudinal controller system.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, an obstacle management method includes receiving, via sensing devices, sensor data relating to an environment associated with a vehicle, and determining, with the sensor data, the presence of an obstacle that at least partially obstructs an intended path of the vehicle in a first lane adjacent to a second lane and at least partially occludes a view of the second lane by a first sensing device. The method further includes positioning the vehicle with respect to the obstacle to improve the view of the second lane by the first sensing device without significantly obstructing the second lane, determining a second path that circumnavigates the obstacle and rejoins the intended path, and monitoring the opposing lane via the first sensing device to determine when the second path is clear.

Abstract: A method includes identifying a current position of the vehicle, using sensor data; generating, via a processor, an initial corridor seeding based upon the current position of the vehicle and physical characteristics of the road, without consideration of any other objects on the roadway; identifying a plurality of objects along a first side of the roadway, the first side including a side of the roadway in which the vehicle is traveling, using the sensor data; generating, via the processor, a target first boundary for the corridor based on the identified plurality of objects along the first side of the roadway; generating, via the processor, a target second boundary on a second side of the roadway, opposite the first side; and adjusting, via the processor, the initial corridor seeding based on the target first boundary and the target second boundary, thereby generating the corridor of travel for the vehicle along the roadway.