Abstract:
A navigation system (10) for an automated vehicle includes a receiver (14), a three-dimensional-model (3D-model (26)), and a controller (40). The receiver (14) detects signals (16) from satellites (18) for determining a location (20) of a host-vehicle (12) on a digital-map (22). The 3D-model (26) depicts objects (28) in an area (30) proximate the host- vehicle (12). The controller (40) is in communication with the receiver (14) and the 3D-model (26). The controller (40) ignores a signal (38) of a satellite (34) detected by the receiver (14) when the satellite (34) is determined to be hidden (50A) by an object (28A) in the 3D-model (26).
Abstract:
A skill-scoring system (10) suitable for use on an automated vehicle (12) includes an accelerometer (22) and a controller (20). The accelerometer (22) is used to determine an acceleration-value (24) experienced by an operator (16) of a host-vehicle (12) while the operator (16) operates the host-vehicle (12) in a manual-mode (14) along a travel-path (26). The controller (20) is in communication with the accelerometer (22). The controller (20) is configured to determine a skill-score (32) based on a comparison of the acceleration- value (24) to an expected-acceleration (34) that the operator (16) would experience when the host-vehicle (12) is operated in an automated-mode (18) along the travel-path (26).
Abstract:
A humanized steering system (10) for an automated vehicle (12) includes one or more steering-wheels (16) operable to steer a vehicle (12), an angle-sensor (20) configured to determine a steering-angle (18) of the steering-wheels (16), a hand-wheel (22) used by an operator (14) of the vehicle (12) to influence the steering-angle (18) and thereby manually steer the vehicle (12), a steering-actuator (24) operable to influence the steering-angle (18) thereby steer the vehicle (12) when the operator (14) does not manually steer the vehicle (12), a position-sensor (26) operable to indicate a relative-position (28) an object (30) proximate to the vehicle (12), and a controller (32). The controller (32) is configured to receive the steering-angle (18) and the relative-position (28), determine, using deep-learning techniques, a steering-model (34) based on the steering-angle (18) and the relative-position (28), and operate the steering-actuator (24) when the operator (14) does not manually steer the vehicle (12) to steer the vehicle (12) in accordance with the steering-model (34), whereby the vehicle (12) is steered in a manner similar to how the operator (14) manually steers the vehicle (12).
Abstract:
A system (10) to determine a vehicle-location (12) of an automated vehicle (14) includes a light-source (16), a sensor (26), and a controller (30). The light-source (16) is located at a light- location (18) that is observable from a roadway (22). The light (20) emitted by the light-source (16) is modulated to broadcast the light- location (18) of the light- source (16). The sensor (26) is mounted on a vehicle (14). The sensor (26) is operable to detect the light (20) in order to receive the light-location (18) and determine a direction (28) of the light (20) relative to the vehicle (14) and/or the roadway (22). The controller (30) is configured to determine a vehicle-location (12) of the vehicle (14) based on the direction (28) and the light- location (18).
Abstract:
A system (10) for automated operation of a vehicle (12) includes a controller (22) and a regulated-lane-detector (26). The controller (22) is operable to determine a vehicle- status (24) that indicates if the vehicle (12) complies with regulations to legally travel in a regulated-lane (18) of a roadway (16). The regulated-lane-detector (26) is in communication with the controller (22) and operable to determine when a regulated-lane (18) is present on a roadway (16). The system (10) selects a travel-lane (14) for the vehicle (12) to travel upon based on the vehicle- status (24).