Abstract: An autonomous vehicle configured to autonomously pass a cyclist includes an imaging device and processing circuitry configured to receive information from the imaging device. Additionally, the processing circuitry of the autonomous vehicle is configured to identify a cyclist passing situation based on the information received from the imaging device, and plan a path of an autonomous vehicle based on the cyclist passing situation. The autonomous vehicle also includes a positioning system and the processing circuitry is further configured to receive information from the positioning system, determine if the cyclist passing situation is sufficiently identified, and identify the cyclist passing situation based on the information from the imaging device and the positioning system when the cyclist passing situation is not sufficiently identified based on the information received from the imaging device.

Abstract: A system and method are provided for making a probabilistic determination of the state of a lane transition which may be controlled by a traffic signal, such as a traffic cue. A determination of the state of transition of a traffic signal may be used by a vehicle to determine a course of action to take. In making the determination, the states of multiple traffic signals may be combined into one collection of elements that has values associated with the likelihood of the traffic signals being in a given state. Optionally, a determination may be made of whether a traffic signal is occluded.

Abstract: An autonomous vehicle can plan a path of the autonomous vehicle at an intersection where cyclists are also present. The autonomous vehicle includes an imaging device and processing circuitry configured to receive information from the imaging device and then identify a position of a cyclist in a traffic intersection based on the information from the imaging device. Additionally, a future path of the cyclist is predicted based on the position of the cyclist in the traffic intersection and a path of the autonomous vehicle is planned based on the predicted future path of the cyclist. Further, it can be determine if the cyclist followed the predicted future path, and the planned path of the autonomous vehicle is updated in response to the cyclist not following the predicted future path.

Abstract: Systems and methods for publishing LIDAR cluster data are described. The vehicle can identify one or more clusters based on data from the LIDAR sensor. The identified one or more clusters can be representative of at least one object in an external environment of the vehicle. Additionally, the vehicle can publish the identified one or more clusters before the LIDAR sensor completes a full 360 degree rotation about the axis of rotation.

Abstract: A computing system for an autonomous engine module stores a self-driving capability and is configured to determine, by communication between an autonomous engine module in which the computing system resides and other autonomous engine modules, and responsive to a user request for use of an autonomous engine module, at least one suitable autonomous engine module use candidate. The computing system may also generate a notification directed to the user including information relating to the at least one suitable autonomous engine module use candidate. The computing system may also receive a selection by the user of an autonomous engine module use candidate. The computing system may also, using the self-driving capability, autonomously drive the autonomous engine module to a designated pickup location responsive to selection by the user of the autonomous engine module as the autonomous engine module use candidate.

Abstract: An autonomous vehicle configured to autonomously pass a cyclist includes an imaging device and processing circuitry configured to receive information from the imaging device. Additionally, the processing circuitry of the autonomous vehicle is configured to identify a cyclist passing situation based on the information received from the imaging device, and plan a path of an autonomous vehicle based on the cyclist passing situation. The autonomous vehicle also includes a positioning system and the processing circuitry is further configured to receive information from the positioning system, determine if the cyclist passing situation is sufficiently identified, and identify the cyclist passing situation based on the information from the imaging device and the positioning system when the cyclist passing situation is not sufficiently identified based on the information received from the imaging device.

Abstract: An autonomous vehicle can plan a path of the autonomous vehicle at an intersection where cyclists are also present. The autonomous vehicle includes an imaging device and processing circuitry configured to receive information from the imaging device and then identify a position of a cyclist in a traffic intersection based on the information from the imaging device. Additionally, a future path of the cyclist is predicted based on the position of the cyclist in the traffic intersection and a path of the autonomous vehicle is planned based on the predicted future path of the cyclist. Further, it can be determine if the cyclist followed the predicted future path, and the planned path of the autonomous vehicle is updated in response to the cyclist not following the predicted future path.

Abstract: A navigation apparatus for an autonomous vehicle includes circuitry configured to receive at least one route between a start location and a destination, display the at least one route on a first screen that allows selection of a first set of routes from the at least one route, receive a plurality of characteristics corresponding to each of the at least one route. Each characteristic of the plurality of characteristics is associated with a measure and a longest block within which each characteristic can be performed continuously. The circuitry further configured to divide a route of the at least one route to generate a plurality of segments based on the plurality of characteristics, and display the first set of routes, the plurality of characteristics corresponding to the first set of routes, the measure and the longest block corresponding to the plurality of characteristics on a second screen.

Abstract: A system for adjusting the position of one or more sensors of an autonomous vehicle includes a plurality of sensor arms, a plurality of sensor manipulators attached to each of the plurality of sensor arms. The system can be configured to receive output from the one or more sensors, and determine if an occlusion zone is detected. Based on the objects creating the occlusion zone, the sensors can be adjusted to decrease the size of the occlusion zone.

Abstract: A computing system for an autonomous engine module stores a self-driving capability and is configured to determine, by communication between an autonomous engine module in which the computing system resides and other autonomous engine modules, and responsive to a user request for use of an autonomous engine module, at least one suitable autonomous engine module use candidate. The computing system may also generate a notification directed to the user including information relating to the at least one suitable autonomous engine module use candidate. The computing system may also receive a selection by the user of an autonomous engine module use candidate. The computing system may also, using the self-driving capability, autonomously drive the autonomous engine module to a designated pickup location responsive to selection by the user of the autonomous engine module as the autonomous engine module use candidate.

Abstract: A transportation system includes at least one passenger module and at least one autonomous engine module configured to operatively couple with the at least one passenger module to form an autonomous passenger vehicle.

Abstract: Arrangements related to sensing systems and methods are described. A sensing system can include a sensor track and one or more sensors. The sensor track can be operatively connected to a vehicle surface, such as at least a portion of a perimeter of a roof of a vehicle. The one or more sensors can be operatively connected to the sensor track such that the one or more sensors move along the sensor track while scanning an environment of the vehicle. The sensing systems can include a controller operatively connected to the one or more sensors to control the movement of the one or more sensors along the sensor track. The controller can also receive signals from the one or more sensors relating to the environment. In one or more arrangements, the one or more sensors can include LIDAR sensors.

Abstract: Systems and methods for publishing LIDAR cluster data are described. The vehicle can identify one or more clusters based on data from the LIDAR sensor. The identified one or more clusters can be representative of at least one object in an external environment of the vehicle. Additionally, the vehicle can publish the identified one or more clusters before the LIDAR sensor completes a full 360 degree rotation about the axis of rotation.

Abstract: System, methods, and other embodiments described herein relate to determining rendezvous locations and autonomously swapping a resupply carriage with a vehicle along a route. In one embodiment, a method includes in response to a request for resupplying the vehicle with energy, determine a rendezvous point for meeting the vehicle with a resupply carriage. The method includes dispatching the resupply carriage to meet the vehicle at the rendezvous point by providing an electronic signal to the resupply carriage to cause the resupply carriage to autonomously travel to the rendezvous point. The method includes controlling the vehicle to swap a current carriage for the resupply carriage to supply energy to the vehicle. The vehicle is comprised of a passenger compartment that is removably attached to the current carriage. The current carriage and the resupply carriage are interchangeable propulsion sources for the vehicle.

Abstract: A computer-readable detailed map format is disclosed. The detailed map format includes a lane segment and one or more border segments. The map format can be used in the operation of an autonomous vehicle. A current location of the autonomous vehicle can be determined. The current location of the autonomous vehicle can be compared to the computer readable map format. A distance between the current location of the autonomous vehicle and an edge of the lane segment at a location along the lane segment can be determined by, for example, measuring a distance between the current location of the autonomous vehicle and a portion of the border segment closest to the current location of the autonomous vehicle. A driving maneuver can be determined based at least in part on the determined distance. One or more vehicle systems of the autonomous vehicle can be caused to implement the determined driving maneuver.

Abstract: A device and method for autonomous vehicle-to-human communications are disclosed. Upon detecting a human traffic participant being proximal to a traffic yield condition of a vehicle planned route, generating a message for broadcast to the human traffic participant and sensing whether the human traffic participant acknowledges a receipt of the message. When sensing that the human traffic participant acknowledges receipt of the message, generating a vehicle acknowledgment message for broadcast to the pedestrian.

Abstract: A device and method for service drone configuration are disclosed. Vehicle diagnostic data is retrieved and monitored for error data that indicates a serviceable vehicle-component fault condition. When the error data indicates the serviceable vehicle-component fault condition, a drone service protocol is generated based on the error data, where the drone service protocol being operable to instruct a service drone to attend to a source of the serviceable vehicle-component fault condition. The drone service protocol can be transmitted for deploying the service drone.

Abstract: System, methods, and other embodiments described herein relate to determining rendezvous locations and autonomously swapping a resupply carriage with a vehicle along a route. In one embodiment, a method includes in response to a request for resupplying the vehicle with energy, determine a rendezvous point for meeting the vehicle with a resupply carriage. The method includes dispatching the resupply carriage to meet the vehicle at the rendezvous point by providing an electronic signal to the resupply carriage to cause the resupply carriage to autonomously travel to the rendezvous point. The method includes controlling the vehicle to swap a current carriage for the resupply carriage to supply energy to the vehicle. The vehicle is comprised of a passenger compartment that is removably attached to the current carriage. The current carriage and the resupply carriage are interchangeable propulsion sources for the vehicle.

Abstract: A device and method for service drone configuration are disclosed. Vehicle diagnostic data is retrieved and monitored for error data that indicates a serviceable vehicle-component fault condition. When the error data indicates the serviceable vehicle-component fault condition, a drone service protocol is generated based on the error data, where the drone service protocol being operable to instruct a service drone to attend to a source of the serviceable vehicle-component fault condition. The drone service protocol can be transmitted for deploying the service drone.

Abstract: Described herein is a device for traffic light detection. The device comprises a memory and a traffic light detection module. The memory may store information, the information comprising first traffic light data of a first traffic light and second traffic light data of a second traffic light. The traffic light detection module may receive an image comprising a first candidate and a second candidate; determine a first region of interest based, at least in part, on the first traffic light data, the first region of interest comprising the first candidate; determine a second region of interest based, at least in part, on the second traffic light data, the second region of interest comprising the second candidate; and determine a confidence score for a first state of the first candidate, the confidence score based, at least in part, on a spatial relationship factor between the first candidate and the second candidate.