A system and method operate an autonomous vehicle. A sensor senses a road and an object. A processor determines, in a Cartesian reference frame, a representation of the road and a source point representative of the object, samples a first waypoint and a second waypoint from the representation of the road, determines a linear projection of the source point to a line connecting the first waypoint and the second waypoint, determines a first estimate of a longitudinal component of the source point in a road-based reference frame based on the linear projection, the first estimate being on a curve representing the road between the first waypoint and the second waypoint, determines a second estimate of the longitudinal component from the first estimate, determines a coordinate of the source point in the road-based reference frame from the second estimate and operates the vehicle with respect to the object using the coordinate.

A system and method operate an autonomous vehicle. A sensor senses a road and an object. A processor determines, in a Cartesian reference frame, a representation of the road and a source point representative of the object, samples a first waypoint and a second waypoint from the representation of the road, determines a linear projection of the source point to a line connecting the first waypoint and the second waypoint, determines a first estimate of a longitudinal component of the source point in a road-based reference frame based on the linear projection, the first estimate being on a curve representing the road between the first waypoint and the second waypoint, determines a second estimate of the longitudinal component from the first estimate, determines a coordinate of the source point in the road-based reference frame from the second estimate and operates the vehicle with respect to the object using the coordinate.

A system, method, and computer-readable medium having instructions stored thereon to enable an ego vehicle having an autonomous driving function to estimate and traverse a curved segment of highway utilizing radar sensor data. The radar sensor data may comprise stationary reflections and moving reflections. The ego vehicle may utilize other data, such as global positioning system data, for the estimation and traversal. The estimation of the curvature may be refined based upon a lookup table or a deep neural network.

A system, method, and computer-readable medium having instructions stored thereon to enable an ego vehicle having an autonomous driving function to estimate and traverse a curved segment of highway utilizing radar sensor data. The radar sensor data may comprise stationary reflections and moving reflections. The ego vehicle may utilize other data, such as global positioning system data, for the estimation and traversal. The estimation of the curvature may be refined based upon a lookup table or a deep neural network.

The present invention relates to a method for determining the current angle of lateral inclination (a) of a roadway by means of a vehicle, at least comprising the steps of: a) determining the current radius of curvature (K) of the roadway; b) measuring the current velocities v(1,2) of at least two different wheels of the vehicle, one of the wheels with the velocity v(1) lying closer to the current curve center point of the roadway; c) calculating the current radius of lateral inclination (Q) of the roadway using the current wheel velocity v(1), the wheel distance (d) and the difference between the wheel velocities measured in method step b); d) calculating the current angle of inclination (a) of the vehicle on the roadway using the quotient of the radius of curvature (K) determined in method step a) and the current radius of lateral inclination (Q) calculated in method step c). The present invention further relates to the use of the method to monitor and/or control a vehicle, to a driver assistance system designed to carry out the method according to the invention, and to a vehicle having such a driver assistance system.

The present invention relates to a method for determining the current angle of lateral inclination (a) of a roadway by means of a vehicle, at least comprising the steps of: a) determining the current radius of curvature (K) of the roadway; b) measuring the current velocities v(1,2) of at least two different wheels of the vehicle, one of the wheels with the velocity v(1) lying closer to the current curve center point of the roadway; c) calculating the current radius of lateral inclination (Q) of the roadway using the current wheel velocity v(1), the wheel distance (d) and the difference between the wheel velocities measured in method step b); d) calculating the current angle of inclination (a) of the vehicle on the roadway using the quotient of the radius of curvature (K) determined in method step a) and the current radius of lateral inclination (Q) calculated in method step c). The present invention further relates to the use of the method to monitor and/or control a vehicle, to a driver assistance system designed to carry out the method according to the invention, and to a vehicle having such a driver assistance system.

In one embodiment, an exemplary method includes the operations of receiving, at a profiling application, a record file recorded by the ADV for a driving scenario in an area, and a high definition map matching the area; extracting planning messages and perception messages from the record file; and aligning the planning message and the perception messages based on their timestamps. The method further includes calculating an individual performance score for each planning cycle of the ADV for the driving scenario based on the planning messages; calculating a weight for each planning cycle based on the perception messages and the high definition map; and then calculating a weighted score for the driving scenario based on individual performance scores and their corresponding weights.

In one embodiment, an exemplary method includes the operations of receiving, at a profiling application, a record file recorded by the ADV for a driving scenario in an area, and a high definition map matching the area; extracting planning messages and perception messages from the record file; and aligning the planning message and the perception messages based on their timestamps. The method further includes calculating an individual performance score for each planning cycle of the ADV for the driving scenario based on the planning messages; calculating a weight for each planning cycle based on the perception messages and the high definition map; and then calculating a weighted score for the driving scenario based on individual performance scores and their corresponding weights.

Provided is a vehicle control device capable of preventing a delay in driver's bank angle operation during traveling of a straddle type vehicle on a curve and enhancing safety of the vehicle. The vehicle control device 100 is a device that is mounted on a two-wheeled motor vehicle and controls the vehicle to travel while following a preceding vehicle. The vehicle control device 100 includes a curvature acquisition unit 110 that acquires a curvature of a road in front of the vehicle and a driving force control unit 120 that limits a change amount of driving force of the vehicle per unit time based on the curvature acquired by the curvature acquisition unit 110.

Provided is a vehicle control device capable of preventing a delay in driver's bank angle operation during traveling of a straddle type vehicle on a curve and enhancing safety of the vehicle. The vehicle control device 100 is a device that is mounted on a two-wheeled motor vehicle and controls the vehicle to travel while following a preceding vehicle. The vehicle control device 100 includes a curvature acquisition unit 110 that acquires a curvature of a road in front of the vehicle and a driving force control unit 120 that limits a change amount of driving force of the vehicle per unit time based on the curvature acquired by the curvature acquisition unit 110.