A first reference line representing a routing line from a first location to a second location associated with an autonomous driving vehicle (ADV) is received. The first reference line is segmented into a number of reference line segments. For each of the reference line segments, a quintic polynomial function is defined to represent the reference line segment. An objective function is determined based on the quintic polynomial functions of the reference line segments. An optimization is performed on coefficients of the quintic polynomial functions in view of a set of constraints associated with the reference line segments, such that an output of the objective function reaches minimum while the constraints are satisfied. A second reference line is then generated based on the optimized parameters or coefficients of the quintic polynomial functions of the objective function. The second reference line is then utilized to plan and control the ADV.

Provided are autonomous vehicles (AV), computer program products, and methods for maneuvering an AV in a roadway, including receiving forecast information associated with predicted trajectories of one or more actors in a roadway, determining a relevant trajectory of an actor based on correlating a forecast for predicted trajectories of the actor with the trajectory of the AV, regenerate a distance table for the relevant trajectory previously generated for processing constraints, generate a plurality of margins for the AV to evaluate, the margins based on a plurality of margin types for providing information about risks and effects on passenger comfort associated with a future proximity of the AV to the actor, classifying an interaction between the AV and the actor based on a plurality of margins, and generating continuous scores for each candidate trajectory that is also within the margin of the actor generated for the relevant trajectory.

A method and an apparatus for controlling an engine clutch are provided. The method includes determining whether an engine start condition is satisfied when an engine is stopped and performing an engine cranking operation by operating a hybrid starter & generator (HSG) when the engine start condition is satisfied. Whether an engine speed is greater than or equal to a first reference speed is determined to thus reduce an HSG torque. Then, whether the engine speed is greater than or equal to a second reference speed is determined to thus calculate a target speed of the engine. A speed control of the engine is performed using the target speed of the engine while determining whether an engine clutch engagement condition is satisfied. An engine clutch is engaged when the engine clutch engagement condition is satisfied.

A control device which is mounted in a vehicle includes: a communication module configured to receive control information from an information processing device at a control time which is generated at predetermined intervals; a memory configured to store the received control information; and a processor configured to control the vehicle based on the received control information. The processor is configured to complement a loss in control information which is to be received at a next control time based on the control information stored in the memory when the loss in the control information which is to be received at the next control time has been detected.

The invention relates to a method and arrangement for determining a current road inclination, specifically taking into account a quality measure for the determination. The invention also relates to a corresponding computer program product. The method comprises the steps of: measuring (S1), a first vehicle operating parameter; receiving (S2) the first vehicle operating parameter; determining (S3) an indication of a quality level for the first vehicle operating parameter, and determining (S4) an estimated value of the current road inclination based on the first vehicle operating parameter and the indication of the quality level for the first vehicle operating parameter.

A method for proposing a driving speed for a driver at the steering wheel of a vehicle comprises the following steps estimating the maximum available grip potential at a given instant between a tyre of the vehicle and the roadway on a predetermined upcoming route; determining, among a set of predetermined driving styles, secure styles for which the grip requirement on the predetermined route remains lower than the grip potential; selecting, among said secure styles, a secure comfortable style according to a driver profile; and determining, according to said secure comfortable style and to a location of the vehicle, a basic proposed driving speed on an upcoming section of route.

A method for controlling a suspension component of a vehicle, in which a control unit of the suspension component continuously generates a plurality of control requirements according to a generation clock frequency, each requirement comprising a control value, for an actuator of the suspension component. A bus system of the vehicle continuously transmits to the actuator the control requirements generated by the control unit according to a transmission clock frequency. The actuator calculates a target output value for the suspension component from the control value of each transmitted control requirement and an actual output value of the suspension component, and adjusts the suspension component corresponding to the calculated target output value.

Methods and devices for operating a Self-Driving Car (SDC) are disclosed. The method includes generating a first graph-structure having nodes and edges, ranking the edges based on a priority logic into a ranked list of edges, and generating a second graph-structure (i) by iteratively generating attributes for respective ones from the ranked list of edges beginning with a highest priority edge in the ranked list of edges and (ii) until a pre-determined limit is met. The method also includes causing operation of the SDC on the road segment using the second graph-structure.

A method, a device, and a system for parking a truck accurately in a shore crane area are provided. A vehicle controller transmits a parking request for a truck to be parked. A main controller receives the parking request and acquires real-time point cloud data by scanning one or more lanes crossed by a shore crane using one or more LiDARs. The main controller clusters the real-time point cloud data to obtain a set of point clouds for the truck and applies an Iterative Closest Point algorithm to the set of point clouds and a vehicle point cloud model to obtain a real-time distance from the truck to a target parking space. The vehicle controller controls the truck to stop at the target parking space based on the real-time distance.

When generating a control command of an autonomous driving vehicle (ADV), a pitch status and/or a roll status of the road is determined. The control command is adjusted based on the pitch status and the roll status. For example, when an ADV is driving on an uphill or downhill road, a pitch status of the road is determined and a speed control command will be generated based on the pitch status of the road, such that the ADV have a similar acceleration rate as of driving on a flat road. Similarly, when the ADV is driving on a road that is tilted or rolled left or right, a roll status of the road is determined and a steering control command will be generated in view of the roll status of the road, such that the ADV have a similar heading direction as of driving on a flat road.