A system for controlling an internal combustion engine start threshold in a parallel hybrid-electric vehicle. A predetermined conditions tracking module determines whether or not conditions of a plurality of predetermined conditions exist. Responsive to a determination that the conditions exist, a required power estimation module estimates a next acceleration required by the vehicle and a final power requirement for the next acceleration. A propulsion system control module determines if the estimated final power requirement is between a first amount of electric motor power available at a predetermined base engine start threshold and a second amount of electric motor power available at a predetermined elevated engine start threshold. If the estimated final power requirement is between the first and second amounts of power, operation of the vehicle is controlled so as to ensure that the engine start threshold is at the predetermined elevated threshold.

A platoon driving control system of a vehicle includes a detector configured to detect an obstacle positioned in a front according to a driving direction of a vehicle included in a platoon; a processor; and a memory coupled to the processor and storing an algorithm that, when executed by the processor, causes the processor to: determine a braking strategy of the vehicle included in the platoon based on a driving speed of the platoon, and control a driving of the platoon based on the obstacle detected by the detector and the braking strategy.

A platoon driving control system of a vehicle includes a detector configured to detect an obstacle positioned in a front according to a driving direction of a vehicle included in a platoon; a processor; and a memory coupled to the processor and storing an algorithm that, when executed by the processor, causes the processor to: determine a braking strategy of the vehicle included in the platoon based on a driving speed of the platoon, and control a driving of the platoon based on the obstacle detected by the detector and the braking strategy.

Provided are methods, systems, devices, and tangible non-transitory computer readable media for mapping geographical surfaces. The disclosed technology can access image data and sensor data. The image data can include a plurality of images of one or more locations and semantic information associated with the one or more locations. The sensor data can include sensor information associated with detection of one or more surfaces at the one or more locations by one or more sensors. One or more irregular surfaces can be detected based at least in part on the image data and the sensor data. The one or more irregular surfaces can include the one or more surfaces associated with the image data and the sensor data that satisfies one or more irregular surface criteria at each of the one or more locations respectively. Map data including information associated with the one or more irregular surfaces can be generated.

Provided are methods, systems, devices, and tangible non-transitory computer readable media for mapping geographical surfaces. The disclosed technology can access image data and sensor data. The image data can include a plurality of images of one or more locations and semantic information associated with the one or more locations. The sensor data can include sensor information associated with detection of one or more surfaces at the one or more locations by one or more sensors. One or more irregular surfaces can be detected based at least in part on the image data and the sensor data. The one or more irregular surfaces can include the one or more surfaces associated with the image data and the sensor data that satisfies one or more irregular surface criteria at each of the one or more locations respectively. Map data including information associated with the one or more irregular surfaces can be generated.

A road gradient determining method includes obtaining a three-dimensional road image formed by a two-dimensional road image of a road and laser point cloud data of the road and selecting a plurality of nodes from the three-dimensional road image as control points. The method further includes generating, according to the control points, a first spline curve indicating a road elevation and converting the first spline curve into a second spline curve indicating a road gradient. Finally, the method includes obtaining location information and determining a first road gradient according to the location information and the second spline curve. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

A road gradient determining method includes obtaining a three-dimensional road image formed by a two-dimensional road image of a road and laser point cloud data of the road and selecting a plurality of nodes from the three-dimensional road image as control points. The method further includes generating, according to the control points, a first spline curve indicating a road elevation and converting the first spline curve into a second spline curve indicating a road gradient. Finally, the method includes obtaining location information and determining a first road gradient according to the location information and the second spline curve. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

A method and control system for assessing a potential for collision between a body part of a vehicle and a roadway. The method includes predicting a trajectory path of the vehicle along the roadway, monitoring elevations of the roadway along the trajectory path, and analyzing, at a point along the trajectory path of the roadway, whether the body part of the vehicle will collide with the roadway based upon the estimated elevation of the body part on the vehicle at the point along the trajectory path and the estimated elevation of the roadway at the point along the trajectory path.

A method and control system for assessing a potential for collision between a body part of a vehicle and a roadway. The method includes predicting a trajectory path of the vehicle along the roadway, monitoring elevations of the roadway along the trajectory path, and analyzing, at a point along the trajectory path of the roadway, whether the body part of the vehicle will collide with the roadway based upon the estimated elevation of the body part on the vehicle at the point along the trajectory path and the estimated elevation of the roadway at the point along the trajectory path.

A magnitude of a road surface slope along which a vehicle travels is detected, when the magnitude of the road surface slope increases, a basic braking force set in advance is corrected to be decreased based on the magnitude of the road surface slope, or a basic driving force set in advance is corrected to be increased based on the magnitude of the road surface slope, when the magnitude of the road surface slope decreases, a basic braking force is corrected to be increased based on the magnitude of the road surface slope or a basic driving force is corrected to be decreased based on the magnitude of the road surface slope, and the corrected braking force or driving force is generated.