The disclosure provides an information processing method for a vehicle driving on a curve. The method includes: obtaining a monitored image of a curve; identifying an image position of a first vehicle driving on the curve in the monitored image; determining a target geographic position of the first vehicle according to the image position; and generating prompt information according to the target geographic position of the first vehicle and sending the prompt information, in which, the prompt information is configured to determine vehicle spacing information according to the target geographic position of the first vehicle and a geographic position of a second vehicle receiving the prompt information, and issue a warning based on the vehicle spacing information.

Disclosed herein is a method and system for dynamically generating a secure navigation path for navigation of an autonomous vehicle. The method comprises detecting disproportional acceleration of the autonomous vehicle when the autonomous vehicle is navigating from a source point to a destination point based on a predefined trajectory plan. The method comprises determining direction values of the autonomous vehicle for reaching a secure path point in the predefined trajectory plan. Based on the determined direction values, distance values are determined. The method includes detecting position of the secure path point for navigation of the autonomous vehicle based on the determined direction values and the distance values. The present disclosure uses secure path point to realign the autonomous vehicle in the predefined trajectory plan to overcome the disproportional acceleration of the autonomous vehicle due to narrow roads, upward slope, or downward slope.

Disclosed herein is a method and system for dynamically generating a secure navigation path for navigation of an autonomous vehicle. The method comprises detecting disproportional acceleration of the autonomous vehicle when the autonomous vehicle is navigating from a source point to a destination point based on a predefined trajectory plan. The method comprises determining direction values of the autonomous vehicle for reaching a secure path point in the predefined trajectory plan. Based on the determined direction values, distance values are determined. The method includes detecting position of the secure path point for navigation of the autonomous vehicle based on the determined direction values and the distance values. The present disclosure uses secure path point to realign the autonomous vehicle in the predefined trajectory plan to overcome the disproportional acceleration of the autonomous vehicle due to narrow roads, upward slope, or downward slope.

A method for controlling autonomous driving in an autonomous vehicle includes detecting a situation in which autonomous driving is impossible while the vehicle operates in an autonomous driving mode, outputting a control-right handover request warning alarm and then activating a minimal risk maneuver driving mode, determining a human driver gaze validity based on the detected situation, determining a human driver intervention validity upon determination that the human driver gaze is valid, and determining control-right handover of the autonomous vehicle based on the human driver intervention validity. Thus, the control-right may be reliably transferred from a system to a human driver.

A method for controlling autonomous driving in an autonomous vehicle includes detecting a situation in which autonomous driving is impossible while the vehicle operates in an autonomous driving mode, outputting a control-right handover request warning alarm and then activating a minimal risk maneuver driving mode, determining a human driver gaze validity based on the detected situation, determining a human driver intervention validity upon determination that the human driver gaze is valid, and determining control-right handover of the autonomous vehicle based on the human driver intervention validity. Thus, the control-right may be reliably transferred from a system to a human driver.

A method for the performance-enhancing driver assistance of a road vehicle on a track comprising the steps of: determining, in use, the current position and the current orientation of the road vehicle on the track by means of a tracking device; identifying an optimal trajectory in relation to the conformation of the track and/or the to road vehicle; determining, in use, a lateral deviation of the road vehicle from the optimal trajectory and/or an understeer/oversteer condition in curve; suggesting to the driver, by means of a haptic interface device arranged in such a way that it is perceivable by the driver and does not obstruct the driver's view of the road, depending on the lateral deviation and/or on the understeer/oversteer condition in curve, one or more actions to be performed in order to vary a lateral dynamic of the road vehicle in order to perform a mission which optimises the performance on the track.

A method for the performance-enhancing driver assistance of a road vehicle on a track comprising the steps of: determining, in use, the current position and the current orientation of the road vehicle on the track by means of a tracking device; identifying an optimal trajectory in relation to the conformation of the track and/or the to road vehicle; determining, in use, a lateral deviation of the road vehicle from the optimal trajectory and/or an understeer/oversteer condition in curve; suggesting to the driver, by means of a haptic interface device arranged in such a way that it is perceivable by the driver and does not obstruct the driver's view of the road, depending on the lateral deviation and/or on the understeer/oversteer condition in curve, one or more actions to be performed in order to vary a lateral dynamic of the road vehicle in order to perform a mission which optimises the performance on the track.

A method for the performance-enhancing driver assistance of a road vehicle on a track comprising the steps of:

determining, in use, the current position and the current orientation of the road vehicle on the track by means of a tracking device; identifying an optimal trajectory in relation to the conformation of the track and/or to the road vehicle; determining, in use, a relative position of the road vehicle with respect to the optimal trajectory by identifying a longitudinal relative position on the optimal trajectory; suggesting to the driver, by means of one or more colours emitted or assumed by a light interface device, depending on the longitudinal relative position, one or more actions to be performed to vary a longitudinal dynamic of the road vehicle in order to perform a mission optimising the performance on the track.

A method for the performance-enhancing driver assistance of a road vehicle on a track comprising the steps of:

determining, in use, the current position and the current orientation of the road vehicle on the track by means of a tracking device; identifying an optimal trajectory in relation to the conformation of the track and/or to the road vehicle; determining, in use, a relative position of the road vehicle with respect to the optimal trajectory by identifying a longitudinal relative position on the optimal trajectory; suggesting to the driver, by means of one or more colours emitted or assumed by a light interface device, depending on the longitudinal relative position, one or more actions to be performed to vary a longitudinal dynamic of the road vehicle in order to perform a mission optimising the performance on the track.

To provide a preceding vehicle determination system and a preceding vehicle determination method which can improve the determination accuracy of the preceding vehicle, considering an estimation error of the traveling lane of the own vehicle. A preceding vehicle determination system and a preceding vehicle determination method estimates a high probability region which is a region where the own vehicle probably travels and estimates a middle probability region which is a region where a possibility that the own vehicle travels is lower than the high probability region, based on the traveling state of the own vehicle; and determines whether the front vehicle is a which is traveling forward in a traveling lane of the own vehicle, based on the position history of the front vehicle, the high probability region, and the middle probability region.