A system for controlling vehicle sensors includes one or more processors and a memory coupled to the one or more processors and storing a sensor control module including instructions that control processor(s) to, if the vehicle is not moving, and responsive to occurrence of an event, control operation of at least one radar sensor to scan the vehicle occupant compartment at a first scanning rate. Responsive to an occurrence of another event following commencement of scanning at the first scanning rate, the processor(s) control operation of the at least one radar sensor to scan the occupant compartment at a second scanning rate different from the first scanning rate. After passage of a predetermined time period after commencement of scanning at the second scanning rate, it is determined whether a living object resides in the occupant compartment. If no living object resides in the occupant compartment, radar scanning of the occupant compartment is discontinued.

Autonomous vehicle operational management may include an autonomous vehicle traversing a vehicle transportation network, which may include operating a scenario-specific operational control evaluation module instance, which is an instance of a scenario-specific operational control evaluation module instantiated for an occurrence of a distinct vehicle operational scenario by allocating computing resources to, and populating, the scenario-specific operational control evaluation module instance with operational environment information corresponding to the occurrence of the distinct vehicle operational scenario. Traversing the vehicle transportation network may include determining a current vehicle control action by receiving a candidate vehicle control action from the scenario-specific operational control evaluation module instance and identifying the candidate vehicle control action as the current vehicle control action, and traversing a portion of the vehicle transportation network in accordance with the current vehicle control action, wherein the portion of the vehicle transportation network includes the occurrence of the distinct vehicle operational scenario.

In a vehicle control system (1, 101, 201) configured for autonomous driving, a control unit executes a stop process by which the vehicle is parked in a prescribed stop area when it is detected that the control unit or a driver has become incapable of properly maintaining a traveling state of the vehicle, and a stop maintaining process for keeping the vehicle parked following the vehicle coming to a stop in the stop process. The control unit keeps the brake lamp turned on while the stop maintaining process is being executed.

A system in a vehicle can have a camera and/or a sensor. Such a camera can be configured to record a visual feature of a user in the vehicle and send data derived from the visual feature. Such a sensor can be configured to sense a non-visual feature of the user in the vehicle and send data derived from the non-visual feature. The system can have a computing system configured to receive such data from the camera and the sensor. The computing device can also be configured to determine a state of the user based on the received data derived from visual and non-visual features, as well as an AI system. The computing device can also be configured to enable or disable a function of the vehicle based at least partially on the state of the user, which the AI system can infer from the received data.

A vehicle includes a communicator that is mounted on the vehicle to perform wireless communication with a server and a controller operates the communicator to transmit an accident reception request signal and image data acquired by another vehicle to the server when the vehicle has an accident with an accident target vehicle. The controller operates the communicator to receive a fault ratio from the server when the server generates fault ratio data between the vehicle and the accident target vehicle based on the image data.

A planned trajectory is analyzed by an L4 emergency braking module, before the trajectory is navigated by the autonomous driving vehicle (ADV). An L4 emergency braking signal is generated in response to an autonomous driving vehicle (ADV) determining that any portion of a planned trajectory of the ADV has a deceleration that is less than −2 m/sec.sup.2 and a time to collision with the ADV, by a vehicle following the ADV at a speed Z and a distance Y<100 m, during a period of 1 to 8 seconds after time 0 of the planned trajectory, if

[00001]$\frac{T_X+Y}{Z}\le X$

for any time Xϵ{1 second . . . 8 seconds} after time 0, wherein T.sub.X is the location of the ADV in the trajectory at time X. Optionally, a sharp braking command can be issued by the L4 emergency braking module in response to activating the emergency braking signal.

A profile is automatically generated for an occupant of a vehicle. In one approach, data is collected from an interior of a vehicle to determine whether an occupant is present. If an occupant is present, a local profile is automatically generated. The local profile is sent to a remote computing device. The remote computing device links the local profile to a remote profile stored by the remote computing device. Configuration data is generated by the remote computing device based on linking the local and remote profiles. The configuration data is sent to the vehicle and used by the vehicle to control the operation of one or more components of the vehicle.

In one embodiment, a method, apparatus, and system for planning the trajectory of an autonomous driving vehicle (ADV) in view of an object within a buffer area in front of the ADV is disclosed. A buffer area in front of an ADV is identified. A first object of one or more objects that have entered the buffer area is identified. A first distance cost and a first relative speed cost associated with the first object are determined. A first object cost associated with the first object is determined based on a combination of the first distance cost and the first relative speed cost. A trajectory for the ADV is planned based at least in part on a cost function comprising the first object cost, where the cost function is minimized in the planning. Control signals are generated to drive the ADV based on the planned trajectory.

A road resource is identified, according to one or more maneuver sharing intent messages received to the vehicle via a transceiver of a vehicle, where the road resource is contested between the vehicle and one or more other vehicles and includes a portion of a roadway to be traversed by the vehicle and also the one or more other vehicles. A conflict resolution procedure is performed to determine whether the vehicle gains access to the road resource, wherein the conflict resolution procedure is independently performed by each of the vehicle and the one or more other vehicles. One of the vehicle or the one or more other vehicles is granted access to the road resource based on the conflict resolution procedure.

Disclosed herein are systems and methods for detecting and mitigating inappropriate behavior. The systems and methods may include receiving data. Using the data a harassment score and/or classification for a behavior may be determined. Using the harassment score and/or classification, a determination may be made as to when the harassment score and/or classification for the behavior exceeds a threshold. When the threshold is exceeded, a protection system and/or action engine may be activated to mitigate the inappropriate behavior.