Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. More specifically, systems, devices, and methods are configured to simulate navigation of autonomous vehicles in various simulated environments. In particular, a method may include receiving data representing characteristics of a dynamic object, calculating a classification of a dynamic object to identify a classified dynamic object, identifying data representing dynamic-related characteristics associated with the classified dynamic object, forming a data model of the classified dynamic object, simulating a predicted range of motion of the classified dynamic object in a simulated environment to form a simulated dynamic object, and simulating a predicted response of a data representation of a simulated autonomous vehicle.

As an example, data identifying characteristics of a road user as well as contextual information about the vehicle's environment is received from the vehicle's perception system. A prediction of the intent of the object including an action of a predetermined list of actions to be initiated by the road user and a point in time for initiation of the action is generated using the data. A prediction of the behavior of the road user for a predetermined period of time into the future indicating that the road user is not going to initiate the action during the predetermined period of time is generated using the data. When the prediction of the behavior indicates that the road user is not going to initiate the action during the predetermined period of time, the vehicle is maneuvered according to the prediction of the intent prior to the vehicle passing the object.

An information presentation control apparatus includes a selection information obtainer and a presentation controller. The selection information obtainer obtains selection information representing a selection status of a plurality of recognizers that recognize different targets in surroundings of an autonomous vehicle. The presentation controller causes a presentation device mounted in the autonomous vehicle to present driving information in accordance with the selection information, the driving information being based on at least one of control that is executable by the autonomous vehicle and control that is not executable by the autonomous vehicle and being information about at least one of driving by an automated driving system of the autonomous vehicle and driving by a driver.

A system and method for vehicle collision mitigation with vulnerable road user context sensing. The system and method include determining one or more biosignal parameters and one or more physical movement parameters associated with a vulnerable road user (VRU). The system and method also include determining a context of the VRU based on the one or more biosignal parameters and one or more physical movement parameters associated with the VRU. Additionally, the system and method include determining one or more physical movement parameters associated with a vehicle. The system and method further include estimating a probability of collision between the VRU and the vehicle. The system and method also include providing a human machine interface output response based on the estimation of probability of collision between the VRU and the vehicle.

Systems and methods are directed to providing speed limit context awareness during operation of an autonomous vehicle. In one example, a computer-implemented method for applying speed limit context awareness in autonomous vehicle operation includes obtaining, by a computing system comprising one or more computing devices, a plurality of features descriptive of a context and a state of an autonomous vehicle. The method further includes determining, by the computing system, a context response for the autonomous vehicle based at least in part on a machine-learned model and the plurality of features, wherein the context response includes a derived speed constraint for the autonomous vehicle. The method further includes providing, by the computing system, the context response to a motion planning application of the autonomous vehicle to determine a motion plan for the autonomous vehicle.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Vehicle collision and/or smart home incident monitoring, damage detection, and responses are also described, with particular focus on the particular challenges associated with incident response for unoccupied vehicles and/or smart homes. Operating data associated with the autonomous vehicle and/or smart home may be received. Within the operating, an unusual condition indicative of a likelihood of incident may be detected. Based on the unusual condition, it may be determined that the incident occurred. Accordingly, a response to the incident may be determined. The response may be implemented by the autonomous vehicle and/or smart home.

Systems, apparatus and methods may be configured to implement actively-controlled light emission from a robotic vehicle. A light emitter(s) of the robotic vehicle may be configurable to indicate a direction of travel of the robotic vehicle and/or display information (e.g., a greeting, a notice, a message, a graphic, passenger/customer/client content, vehicle livery, customized livery) using one or more colors of emitted light (e.g., orange for a first direction and purple for a second direction), one or more sequences of emitted light (e.g., a moving image/graphic), or positions of light emitter(s) on the robotic vehicle (e.g., symmetrically positioned light emitters). The robotic vehicle may not have a front or a back (e.g., a trunk/a hood) and may be configured to travel bi-directionally, in a first direction or a second direction (e.g., opposite the first direction), with the direction of travel being indicated by one or more of the light emitters.

Trajectory generation and/or execution architecture is described. In an example, a first signal can be determined at a first frequency, wherein the first signal comprises information associated with causing the system to move to a location. Further, a second signal can be determined at a second frequency different from the first frequency and based at least in part on the first signal. A system can be controlled to move to the location, based at least in part on the second signal.

Systems and method are provided for controlling a vehicle. In one embodiment, an obstacle management method includes receiving, via one or more sensing devices, sensor data relating to an environment associated with a vehicle, wherein the vehicle is substantially stationary and has an intended path corresponding to entering a traffic flow of a first lane. The method includes determining the presence of an obstacle that at least partially occludes a view of the first lane by a first sensing device of the one or more sensing devices, and positioning, with a processor, the vehicle with respect to the obstacle to improve the view of the first lane by the first sensing device without significantly obstructing the first lane. The first lane is then monitored via the first sensing device to determine when the intended path clear.

A vehicle control system includes an acquirer that acquires information that allows recognition of a speed of another vehicle in a travel direction of an own vehicle, a determiner that determines whether or not a low speed section whose travel speed is equal to or less than a first predetermined speed is present in the travel direction of the own vehicle on the basis of the information acquired by the acquirer, and a controller that is able to perform an automated driving mode which is executed at a second predetermined speed or less and that performs predetermined control before the own vehicle reaches the low speed section that has been determined as being present by the determiner.