A system for assisting in aligning a vehicle for hitching with a trailer includes a steering system that adjusts a vehicle steering angle, a braking system that adjusts a vehicle speed, an imaging system that receives image data of a drawbar assembly being receivable in a hitch receiver, and a controller. The controller is configured to detect an edge of the drawbar assembly from the image data, target an endpoint at a fixed offset from the edge and a stationary point on the vehicle, and maneuver, via the steering and braking systems, the vehicle along a path to align the endpoint with the trailer.

A method for trajectory planning of a vehicle includes storing a desired driving path of the vehicle. The method then includes observing external interference factors (2) on the vehicle. The method proceeds by using the driving path and the interference factors (2) to calculate tracking errors (3) and secondary conditions (4). The method then includes optimizing a trajectory (5) in such a way that the tracking errors (3) are reduced within the secondary conditions (4). A corresponding device, a corresponding computer program, and a corresponding storage medium also are provided.

Enclosed are embodiments of motion control operations in various traffic scenarios in consideration of the kinematic factor for trajectory planning. In some embodiments, a method includes: determining a danger rating for at least one object identified in an environment, wherein the danger rating represents a perceived risk associated with a respective object; evaluating a set of hierarchical factors with respect to a traffic scenario, wherein a metric is derived for trajectories of the traffic scenario that quantifies passenger ride comfort based on the danger rating and the set of hierarchical factors; determining a motion control operation in the traffic scenario to increase the passenger ride comfort based on the metric; and augmenting a route planner of an autonomous vehicle with motion control operations in different traffic scenarios to increase the passenger ride comfort.

In a driving assistance device for a vehicle provided with an automatic driving mode and a manual driving mode, a standby member is provided to allow a driver seated at a seat to rest an arm. A sensor senses that a hand of a driver is placed at a position where the driver can reach the sensor while the driver rests the arm on the standby member. The sensor senses that a finger of the driver is in contact with the sensor. The sensor is provided in an arm rest.

In a driving assistance device for a vehicle provided with an automatic driving mode and a manual driving mode, a standby member is provided to allow a driver seated at a seat to rest an arm. A sensor senses that a hand of a driver is placed at a position where the driver can reach the sensor while the driver rests the arm on the standby member. The sensor senses that a finger of the driver is in contact with the sensor. The sensor is provided in an arm rest.

A driving assistance device includes a guide line detecting unit configured to detect the guide line, a remaining distance acquiring unit configured to acquire a remaining distance to the scheduled stop position, and a braking control unit configured to control deceleration of a vehicle. The guide line detecting unit detects a base-point mark, a curvature of the guide line, and a curvature feature point. The remaining distance acquiring unit acquires the remaining distance on the basis of the position of the base-point mark when the guide line detecting unit has detected the base-point mark, and acquires the remaining distance on the basis of the position of the curvature feature point when the guide line detecting unit has not detect the base-point mark and has detected the curvature feature point.

In a vehicle control device, a reference route generator obtains point-series information including information on sets of coordinates through which a subject vehicle needs to travel, and approximates, by polynomials each being a function of a route length from a preset reference point, a longitudinal position and a lateral position of the subject vehicle based on the sets of coordinates to generate a reference route represented by the polynomials. A planned traveling distance computing unit calculates a planned traveling distance being a distance that the subject vehicle needs to travel in a unit time of a predefined length. A target value computing unit calculates a target position being a target value of a position of the subject vehicle after the unit time, based on the polynomials of the longitudinal position and the lateral position of the subject vehicle, and the planned traveling distance.

A driver assist design analysis system includes a processing system and a database that stores vehicle data, vehicle operational data, vehicle accident data, and environmental data related to the configuration and operation of a plurality of vehicles with driver assist systems or features. The driver assist design analysis system also includes one or more analysis engines that execute on the processing system to determine one or more driving anomalies (e.g., accidents or poor driving operation) based on the vehicle operational data, and that correlate or determine a statistical relationship between the driving anomalies and the operation of the driver assist systems or features. The driver assist design analysis system then determines an effectiveness of operation of one or more of the driver assist systems or features based on the statistical relationship to determine a potential design flaw in the driver assist systems or features, and the driver assist design analysis system notifies a user or receiver of the potential design flaw.

A driver assist design analysis system includes a processing system and a database that stores vehicle data, vehicle operational data, vehicle accident data, and environmental data related to the configuration and operation of a plurality of vehicles with driver assist systems or features. The driver assist design analysis system also includes one or more analysis engines that execute on the processing system to determine one or more driving anomalies (e.g., accidents or poor driving operation) based on the vehicle operational data, and that correlate or determine a statistical relationship between the driving anomalies and the operation of the driver assist systems or features. The driver assist design analysis system then determines an effectiveness of operation of one or more of the driver assist systems or features based on the statistical relationship to determine a potential design flaw in the driver assist systems or features, and the driver assist design analysis system notifies a user or receiver of the potential design flaw.

Disclosed embodiments include systems, vehicles, and computer-implemented methods to adjust a threshold level of force to be applied to a steering wheel to disengage an autosteering system. In an illustrative embodiment, a system includes a computing device operably coupled with a vehicle that includes a processor and a computer-readable media configured to store computer-executable instructions configured to cause the processor to: detect that an autosteering system of the vehicle is engaged; detect a level of force applied by an operator to a steering wheel of the vehicle; and disengage the autosteering system when the level of force surpasses a threshold chosen from a default threshold and an adjusted threshold, wherein the adjusted threshold is applied upon detecting a predetermined condition..