Embodiments include apparatuses, methods, and systems for computer assisted or autonomous driving (CA/AD). An apparatus may include a trailer data collection unit and an automation level determination unit coupled with the trailer data collection unit. The trailer data collection unit may collect, from a trailer coupled with a CA/AD towing vehicle, trailer configuration data, including sensor configuration data for sensors disposed on the trailer. The automation level determination unit may determine a combined level of driving automation for the CA/AD towing vehicle and the trailer, based at least in part on the trailer configuration data, wherein the CA/AD towing vehicle alone has an initial level of driving automation. An apparatus for CA/AD may include a sensor configuration unit, a trailer configuration unit, and a communication interface coupled with the sensor configuration unit and the trailer configuration unit. Other embodiments may also be described and claimed.

A hitch assist system is provided herein that includes a sensing system configured to detect a trailer proximate a vehicle. The hitch assist system also includes a controller for determining an environmental visibility level; determining an offset from a first sensor in high visibility levels and from a second sensor in low visibility levels; and maneuvering the vehicle along a path to align a hitch ball with a coupler of the trailer.

Systems and methods are provided for autonomous vehicle navigation. The systems and methods may map a lane mark, may map a directional arrow, selectively harvest road information based on data quality, map road segment free spaces, map traffic lights and determine traffic light relevancy, and map traffic lights and associated traffic light cycle times.

A system and method of controlling operation of a host device in real-time, the host device operatively connected to an optical device and a radar device. The optical device is configured to obtain visual data of at least one object. The object is located at an incline, relative to the host device, the incline being characterized by an elevation angle () and an azimuth angle (). The radar device is configured to obtain radar data, including a radial distance (r) of the object from the host device, the azimuth angle (), and a range rate (dr/dt). The controller is programmed to determine a time-to-contact for the host device and the object based at least partially on a 3-D position and 3-D velocity vector. The operation of the host device is controlled based at least partially on the time-to-contact.

An electric delivery truck control system is disclosed. Sensors detect operation parameters associated with the electric delivery truck as the electric delivery truck maneuvers along the roadway. An electric delivery truck control unit detects electric delivery truck control inputs associated with an operation of the electric delivery truck. The electric delivery truck control inputs are generated from an operation of the electric delivery truck. An operation parameter controller automatically adjusts the operation of the electric delivery truck as the electric delivery truck maneuvers along the roadway to maintain the operation of the electric delivery truck within an operation threshold based on the detected driving parameters and the electric delivery truck control inputs. The operation threshold is the operation of the electric delivery truck that is maintained with an overall power storage of the electric delivery truck thereby enabling the electric delivery truck to execute a route by consuming power stored in the overall power storage of the electric delivery truck.

A system for mapping a lane mark for use in autonomous vehicle navigation is provided. The system includes at least one processor programmed to receive two or more location identifiers associated with a detected lane mark, associate the detected lane mark with a corresponding road segment, update an autonomous vehicle road navigation model relative to the corresponding road segment based on the two or more location identifiers associated with the detected lane mark, and distribute the updated autonomous vehicle road navigation model to a plurality of autonomous vehicles.

A system for mapping a lane mark for use in autonomous vehicle navigation is provided. The system includes at least one processor programmed to: receive two or more location identifiers associated with a detected lane mark; associate the detected lane mark with a corresponding road segment; update an autonomous vehicle road navigation model relative to the corresponding road segment based on the two or more location identifiers associated with the detected lane mark; and distribute the updated autonomous vehicle road navigation model to a plurality of autonomous vehicles.

A system and method of controlling operation of a host device in real-time, the host device operatively connected to an optical device and a radar device. The optical device is configured to obtain visual data of at least one object. The object is located at an incline, relative to the host device, the incline being characterized by an elevation angle () and an azimuth angle (). The radar device is configured to obtain radar data, including a radial distance (r) of the object from the host device, the azimuth angle (), and a range rate (dr/dt). The controller is programmed to determine a time-to-contact for the host device and the object based at least partially on a 3-D position and 3-D velocity vector. The operation of the host device is controlled based at least partially on the time-to-contact.

A system for autonomously navigating a host vehicle along a road segment. The system includes at least one processor programmed to: receive from an image capture device at least one image representative of an environment of a host vehicle; determine a longitudinal position of the host vehicle along a target trajectory; determine an expected lateral distance to at least one lane mark based on the determined longitudinal position and based on two or more location identifiers associated with the at least one lane mark; analyze the at least one image to identify the at least one lane mark; determine an actual lateral distance to the at least one lane mark based on analysis of the at least one image; and determine an autonomous steering action for the host vehicle based on a difference between the expected lateral distance and the actual lateral distance.

Systems and methods are provided for autonomous vehicle navigation. The systems and methods may map a lane mark, may map a directional arrow, selectively harvest road information based on data quality, map road segment free spaces, map traffic lights and determine traffic light relevancy, and map traffic lights and associated traffic light cycle times.