One variation of a method for communicating state, intent, and context of an autonomous vehicle includes: at a first time, displaying a first icon representing a current state of a vehicle on a rear-facing visual display arranged on the vehicle; navigating toward an intersection; at a second time, detecting a state of the intersection ahead of the vehicle; rendering a second icon representing the state of the intersection at the second time on the rear-facing visual display; detecting a change in the state of the intersection at a third time succeeding the second time; selecting a next navigation action for the vehicle responsive to the change in the state of the intersection at the third time; prior to executing the next navigation action, rendering a third icon representing the next navigation action on the rear-facing visual display; and autonomously executing the next navigation action.

By a vehicle notification control device or a vehicle notification control method, an automated driving-related state is identified, a vehicle exterior notification device is controlled for performing vehicle exterior notification that is notification of information related to the automated driving toward an outside of the vehicle; and an execution timing of the vehicle exterior notification is changed according to the identified automated driving-related state.

A method includes determining that an autonomous vehicle is in a zone associated with one or more zone rules; causing, in response to determining that the autonomous vehicle is in the zone, the autonomous vehicle to operate in a controlled mode of operation associated with the zone rules; determining that the autonomous vehicle has exited the zone; and releasing, in response to determining that the autonomous vehicle has exited the zone, the autonomous vehicle from the controlled mode of operation.

A system, an apparatus or a process may be configured to implement an application that applies artificial intelligence and/or machine-learning techniques to predict an optimal course of action (or a subset of courses of action) for an autonomous vehicle system (e.g., one or more of a planner of an autonomous vehicle, a simulator, or a teleoperator) to undertake based on suboptimal autonomous vehicle performance and/or changes in detected sensor data (e.g., new buildings, landmarks, potholes, etc.). The application may determine a subset of trajectories based on a number of decisions and interactions when resolving an anomaly due to an event or condition. The application may use aggregated sensor data from multiple autonomous vehicles to assist in identifying events or conditions that might affect travel (e.g., using semantic scene classification). An optimal subset of trajectories may be formed based on recommendations responsive to semantic changes (e.g., road construction).

A system including a computer for a vehicle is programmed to identify the vehicle as a lead vehicle in a platoon of three or more vehicles, and to identify one of the vehicles in the platoon as a caboose vehicle. The computer is programmed to deactivate a rear light of the lead vehicle, and to instruct activation of a rear light of the caboose vehicle.

In one embodiment, a method includes receiving sensor data from one or more sensors of each of one or more vehicles, processing a combination of the sensor data to generate an assessment of an area surrounding the one or more vehicles based on one or more points-of-view of the area, the one or more points-of-view of the area generated based on synchronizing the combination of the sensor data, and detecting an occurrence of an event based on the assessment of the area. The method further includes identifying one or more instructions corresponding to the event, the instructions associated with a particular vehicle and sending one or more executable instructions based on the instructions to the particular vehicle.

A black out marker light is used in the military arena and enables the drivers of the convoy to determine the distance of the vehicles from the vehicle in front or behind them. The black out marker light includes a microprocessor, which controls the operation of the LEDs, a LED screen used as light source, controlled by said microprocessor, on which the forms mentioned above are created, generated by the LEDs, the LEDs forming forms determined by the microprocessor, resulting in light emission or non-emissivity, depending on whether they are powered or not powered.

Methods and systems for vehicle diagnostic detection and communication are disclosed. Specifically, a method to monitor the health of vehicle systems and subsystems and diagnose detected anomalies is provided. In the event an anomaly or unhealthy state is detected within a vehicle, subsystem or component, the system may take a number of actions. In one embodiment, the actions comprise notifying a maintenance provider, a regulatory monitor, and original equipment manufacturer. The system may also maintain a vehicle fleet-wide performance database to enable identification and analysis of systemic fleet-wide data.

By way of example, a connected vehicle in the form of an electric vehicle is disclosed that the electric vehicle includes an advertisement system, which is configured to: detect presence of people near the connected vehicle via one or more proximity sensors; and reproduce, in response to the detection of presence of people, one or more advertisements via external displays and/or external speakers of the connected vehicle. Further, the connected vehicle may include an advertisement identification unit coupled to the advertisement system and configured to recognize and identify one or more visual contents of an advertisement reproduced on an external display of another vehicle or a billboard display nearby.

By way of example, novel systems and methods for reproducing advertisements on connected vehicles are disclosed. In one example embodiment, a system for delivering advertisements include a plurality of connected vehicles participating in an advertisement event, and the plurality of connected vehicles is each configured to receive an instruction from one of the connected vehicles or a server over a network to cluster near or at a target area for reproducing an advertisement in a coordinated manner as a group of the connected vehicles.