Understanding the intent of human drivers and adapting to their driving styles is used to increased efficiency and safety of autonomous vehicles (AVs) by enabling them to behave in safe and predictable ways without requiring explicit inter-vehicle communication. A Social Value Orientation (SVO), which quantifies the degree of an agent's selfishness or altruism, is estimated by the AV for other vehicles to better predict how they will interact and cooperate with others. Interactions between agents are modeled as a best response game wherein each agent negotiates to maximize their own utility. A dynamic game solution uses the Nash equilibrium, yielding an online method of predicting multi-agent interactions given their SVOs. This approach allows autonomous vehicles to observe human drivers, estimate their SVOs, and generate an autonomous control policy in real time.

The present disclosure relates to control performed in a case where a vehicle is to turn right or left at an intersection. A control device causes the vehicle to carry out a right turn or left turn when a travel start button for starting travel from a stopped state is manipulated while the vehicle is in a stopped state due to presence of a target to be paid attention to during travel, such as a vehicle in an opposite lane or a pedestrian.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing point cloud data using spatio-temporal-interactive networks.

An alert control apparatus that notifies a driver in advance of a transfer of control relating to a driving operation from an automatic driving function to the driver by controlling an alert device mounted on a vehicle, which is equipped with the automatic driving function, includes: an estimator that estimates an occurrence of a change execution situation that requires a lane change under a condition in which the driving operation of the vehicle is controlled by the automatic driving function; a determiner that determines a level of difficulty of lane change control based on a plurality of travel environment factors in the change execution situation; and a notification device that notifies the driver of a possibility of the transfer of the control together with a reason of the transfer of the control with a notification mode corresponding to the level using the alert device.

Techniques for determining a classification probability of an object in an environment are discussed herein. Techniques may include analyzing sensor data associated with an environment from a perspective, such as a top-down perspective, using multi-channel data. From this perspective, techniques may determine channels of multi-channel input data and additional feature data. Channels corresponding to spatial features may be included in the multi-channel input data and data corresponding to non-spatial features may be included in the additional feature data. The multi-channel input data may be input to a first portion of a machine-learned (ML) model, and the additional feature data may be concatenated with intermediate output data from the first portion of the ML model, and input into a second portion of the ML model for subsequent processing and to determine the classification probabilities. Additionally, techniques may be performed on a multi-resolution voxel space representing the environment.

A computing device including interface for receiving from a sensor device sensor data representative of an environment surrounding a host vehicle, and a processor configured to obtain a planned driving action for accomplishing a navigational goal of a host vehicle operating in a first lane of a roadway, identify, from the sensor data, a moving target vehicle located in a second lane of the roadway, identify, based on the target vehicle speed and direction, the target vehicle predicted trajectory indicating a cut-in movement of the target vehicle from the second lane to the first lane, identify an intersection of a planned trajectory for the host vehicle with the predicted trajectory for the target vehicle, and determine a safety action of the host vehicle to respond to the movement of the target vehicle; and cause the safety action to be performed in the host vehicle.

A method for operating a vehicle, the method may include sensing, by at least one sensor of the vehicle, an environment of the vehicle, the environment comprises a dynamic object; estimating an estimated impact of the dynamic object on a future propagation of the vehicle; wherein the estimating is responsive to information that is stored in a dynamic database, wherein the information is about an estimated behavior of the dynamic object; and performing a driving related operation of the vehicle based on the estimated impact.

Disclosed is an image processing apparatus that includes one or more processors; and a memory, the memory storing instructions. When executed by the one or more processors, cause the one or more processors to: generate distribution data indicating a frequency distribution of horizontal distance values of a range image based on the range image having pixel values according to distance of an object in a plurality of captured images; predict a predicted position of the object in the distribution data with respect to a range image of a current frame, based on the distribution data with respect to range images of a plurality of previous frames; and continue tracking of the object, based on a similarity between a region of the object in a previous frame and a region in the current frame with respect to the predicted position of the object.

A vehicle control system including: a surrounding state detector is configured to detect a state of the surroundings, a first running assistor is configured to automatically control at least acceleration/deceleration or steering such that the subject vehicle can run along a route to a destination; a monitor is configured to monitor whether or not the first running assistor is in a predetermined state and limit an operation of the first running assistor in a case in which the first running assistor is in the predetermined state; and a second running assistor is configured to assist a occupant's driving on the basis of the result of the detection executed and perform steering control according to a relation between the subject vehicle and a lane in a case in which the first running assistor is determined as being in the predetermined state.

Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise an interface to obtain sensing data of an environment of the host vehicle. A processing device may be configured to determine a planned navigational action for the host vehicle; identify a target vehicle in the environment of the host vehicle; predict a resulting distance between the host and target vehicles if the planned action were taken; determine a host vehicle stopping distance based on a braking rate, maximum acceleration capability, and current speed of the host vehicle; determine a target vehicle stopping distance based on a braking rate and current speed of the target vehicle; and continue with the planned navigational action while the predicted distance is greater than a minimum safe longitudinal distance calculated based on the host vehicle stopping distance and the target vehicle stopping distance.