Methods, systems, and apparatus, including computer programs encoded on computer storage media, for agent behavior prediction using keypoint data. One of the methods includes obtaining data characterizing a scene in an environment, the data comprising: (i) context data comprising data…
A computer-implemented method for trajectory prediction. The method includes: receiving trajectory data of motion trajectories of road users arranged in a surrounding area of the ego vehicle by a prediction module, wherein the trajectory data are arranged in a graph representation; receiving map…
This application is directed to controlling a vehicle trajectory of an autonomous vehicle. A first vehicle traveling along a road acquires, from a first sensor of the first vehicle, first data of one or more first objects in a vicinity of the first vehicle. The first vehicle receives, from a…
A track prediction method is disclosed, and is applied to autonomous driving in the field of artificial intelligence. The track prediction method includes: obtaining relative moving information between a target vehicle and at least one first vehicle that is located in a detection range of a sensor…
A trajectory associated with a vehicle may be determined based on determining that an object in the vehicle's environment is associated with a behavior of interest which may diverge from a nominal behavior otherwise associated with the object. Based on the divergence from anticipated nominal…
Methods for training a series of neural networks to output driving behavior control parameters is disclosed. The training dataset for the neural networks includes sensor-based vehicle driving recordings that may be categorized by geographical area, by qualitative driving behaviors, or by some…
A method of joint signature-virtual field representation of road elements for driving, the method includes receiving, at a machine learning process associated with a vehicle, multiple sensed information units representing a road element captured at different points of time; generating, by the…
According to an embodiment, disclosed is a system comprising, a sensor and a processor; wherein the processor storing instructions in a non-transitory memory that, when executed, cause the processor to detect, via the sensor of a host vehicle, a target vehicle; capture, via the sensor, a first…
A system for creating a representation of visible space around a machine using a previously determined combined occupancy grid. The system includes a plurality of sensors and an electronic processor. The electronic processor is configured to determine a combined occupancy grid associated with a…
Disclosed is a decision-making and planning integrated method for a nonconservative intelligent vehicle in a complex heterogeneous environment, including the following steps: offline establishing and training a social interaction knowledge learning model; obtaining state data of the traffic…
A vehicle navigation system for detecting and responding to a cut-in by a target vehicle is disclosed. The vehicle navigation system includes at least one processor configured to receive image data captured by an image capture device of the host vehicle; identify, based on analysis of the image…
An operation support device operates a vehicle by autonomous driving. The operation support device includes a control unit that acquires appearance data indicating an appearance history of emergency vehicles for each of a plurality of links forming a route through which the vehicle is expected to…
Techniques for implementing a machine learned model to determine variable step sizes for searching a decision tree are described herein. For example, the techniques may include a computing device implementing a tree search algorithm to search the decision tree comprising nodes representing…
An electronic device and method for more accurate autonomous driving, where the electronic device includes a sensor disposed in a moving object and configured to generate sensing data, and a processor configured to determine a predicted position of the moving object and a region of interest (ROI)…
A motion prediction device detecting, from surrounding data representing a situation in a predetermined range of surroundings of a vehicle, a traffic participant existing in the predetermined range, determining whether there is a blind area not represented in the surrounding data in the…
A device for lane determination includes a processor configured to detect a vehicle region representing a target vehicle traveling in an area around a host vehicle from an image of the area around the host vehicle generated by a camera mounted on the host vehicle, and determine that the target…
System and methods for causing movement of an autonomous vehicle. The methods comprise: determining candidate trajectories of the autonomous vehicle using candidate actions forecasted for a virtual doppelganger and reactive actions predicted for a non-Ego actor that is located in proximity to the…
Systems and methods for speed and lane advisory are provided. In one embodiment, a method includes determining a host longitudinal position in a current lane. The method includes identifying at least one candidate lane adjacent the current lane. The method includes calculating a longitudinal…
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for agent trajectory prediction using anchor trajectories.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for agent behavior prediction using keypoint data. One of the methods includes obtaining data characterizing a scene in an environment, the data comprising: (i) context data comprising data…
This document discloses system, method, and computer program product embodiments for operating a robot. For example, the method includes: detecting an object in proximity to the robot; generating a path of travel for the object that is defined by a plurality of first data points representing…
Embodiments for operational envelope detection (OED) with situational assessment are disclosed. Embodiments herein relate to an operational envelope detector that is configured to receive, as inputs, information related to sensors of the system and information related to operational design domain…
Provided are autonomous vehicles (AV), computer program products, and methods for maneuvering an AV in a roadway, including receiving forecast information associated with predicted trajectories of one or more actors in a roadway, determining a relevant trajectory of an actor based on correlating a…
Aspects of the disclosure provide for a method of controlling an autonomous vehicle in an autonomous driving mode. For instance, a predicted future trajectory for an object detected in a driving environment of the autonomous vehicle may be received. A routing intent for a planned trajectory for the…
A system and method of detecting and mitigating an erratic vehicle by a host vehicle. The method includes gathering sensor information on a calibratable external region surrounding the host vehicle; analyzing the sensor information to detect a target vehicle traveling in a lane and a movement of…
Methods and systems for controlling navigation of a vehicle are disclosed. The system will first detect a URU within a threshold distance of a drivable area that a vehicle is traversing or will traverse. The system will then receive perception information relating to the URU, and use a plurality of…
A method for determining a lane change, performed by an apparatus for determining a lane change of an object located around a driving vehicle with which is equipped a sensor, the method including, detecting a plurality of objects located around the driving vehicle using scanning information…
Aspects and implementations of the present disclosure relate to modeling of positional uncertainty of moving objects using precomputed polygons, for example, for the purposes of computing autonomous vehicle (AV) trajectories. An example method includes: receiving, by a data processing system of an…
Methods of refining a planned trajectory of an autonomous vehicle are disclose. For multiple cycles as the vehicle moves along the trajectory, the vehicle will perceive nearby objects. The vehicle will use the perceived object data to calculate a set of candidate updated trajectories. The motion…
To provide an other vehicle behavior prediction apparatus, an other vehicle behavior prediction method, and an automatic driving system which can determine the presence absence of the lane change of the other vehicle with good accuracy, regardless of the change of road shape. An other vehicle…