Electronic components may be integrated in objects used by the trucking industry, such as truck, tractor trailer, cargo, and loading bay. These objects may then communicate with each other and with a gateway device to transmit or receive data or commands. The gateway may be configured to attach to the truck, such as by securing to the truck frame or securing to an interior of the truck cab. The gateway may couple to one or more input devices, and receive sensor data through the one or more input devices. The gateway may execute steps that allow the gateway to determine safety margins for operating a vehicle and communicating that information to other nearby vehicles.

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.

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 lamp of an autonomous vehicle may include at least one light emitting unit. The lamp may further include at least one processor configured to: in a first state in which the autonomous vehicle is operating in a manual driving state, control the at least one light emitting unit to emit a light into a space outside the autonomous vehicle; and in a second state in which the autonomous vehicle is transitioned from the manual driving state to an autonomous driving state, control the at least one light emitting unit to not emit a light into the space outside the autonomous vehicle.

System, methods, and other embodiments described herein relate to illuminating a brake light of a following vehicle based on information obtained during a virtual connection mode. In one embodiment, a system includes a processor and a memory storing machine-readable instructions that, when executed by the processor, cause the processor to, when a lead vehicle and a following vehicle are in a virtual connection mode, 1) prevent a brake light of the following vehicle from illuminating based on a default brake light signal and 2) illuminate the brake light of the following vehicle based on information obtained during the virtual connection mode.

Electronic components may be integrated in objects used by the trucking industry, such as truck, tractor trailer, cargo, and loading bay. These objects may then communicate with each other and with a gateway device to transmit or receive data or commands. The gateway may be configured to attach to the truck, such as by securing to the truck frame or securing to an interior of the truck cab. The gateway may couple to one or more input devices, and receive sensor data through the one or more input devices. The gateway may execute steps that allow the gateway to determine safety margins for operating a vehicle and communicating that information to other nearby vehicles.

Electronic components may be integrated in objects used by the trucking industry, such as truck, tractor trailer, cargo, and loading bay. These objects may then communicate with each other and with a gateway device to transmit or receive data or commands. The gateway may be configured to attach to the truck, such as by securing to the truck frame or securing to an interior of the truck cab. The gateway may couple to one or more input devices, and receive sensor data through the one or more input devices. The gateway may execute steps that allow the gateway to determine safety margins for operating a vehicle and communicating that information to other nearby vehicles.

A method of controlling autonomous or driverless vehicles in a specific control zone or in a convoy is disclosed. The vehicles enter the zone or form a convoy and come under the control of a zone authority or escort vehicle that coordinates the movements of the vehicles until they leave the zone or convoy. Escort vehicles communicate with central control facilities, each other or escorted vehicles. The behavior of the escorted or controlled vehicles is modified to insure that it matches a set of rules established by the zone authority. Possible zones include parking areas, indoor passages and areas with security concerns. The zone authority or escort vehicle may simultaneously control multiple autonomous vehicles and possible additional driver operated vehicles. Messages establishing control or providing continuing administration of rules or movements of escorted or controlled vehicles may be delivered by any type of communications link.

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. In particular, a method may include receiving data associated with a sensor measurement of a perceived object, determining a label associated with the perceived object based on an initial calibration, retrieving log file data associated with the label, determining a calibration parameter associated with the sensor measurement based on the retrieved log file data, and storing the calibration parameter in association with a sensor associated with the sensor measurement. Sensors may be calibrated on the fly while the autonomous vehicle is in operation using one or more other sensors and/or fused data from multiple types of sensors.

A lamp of an autonomous vehicle may include at least one light emitting unit. The lamp may further include at least one processor configured to: in a first state in which the autonomous vehicle is operating in a manual driving state, control the at least one light emitting unit to emit a light into a space outside the autonomous vehicle; and in a second state in which the autonomous vehicle is transitioned from the manual driving state to an autonomous driving state, control the at least one light emitting unit to not emit a light into the space outside the autonomous vehicle.