A method for the performance-enhancing driver assistance of a road vehicle driven by a driver and provided with at least two drive wheels driven by at least one electric motor connected to a corresponding vehicular battery pack; the method comprises the steps of defining a dynamic model of the road vehicle; determining a route of a track travelled by the road vehicle; calculating, as a function of the dynamic model of the road vehicle and of the route, a convenience index relative to the use of energy of the vehicular battery pack by the electric motor; subdividing the route (R) into a plurality of sectors assigning to each a relative value of the calculated convenience index; delivering electrical power to the drive wheels according to the value of the convenience index assigned to each sector of the route.

An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statues for performing safe driving operation. An example method for operating an AV includes receiving, from a sensor located on the AV, sensor data that captures a road sign located at a distance from the AV that is operating on a roadway; obtaining, from the sensor data, roadway information indicated by the road sign that corresponds to a segment of the roadway associated with the road sign that is ahead of a current position of the AV on the roadway; determining trajectory-related information for the AV for the distance that is based on the roadway information obtained from the sensor data; and causing the AV to travel in accordance with the trajectory-related information until a determination that the AV has arrived within the segment of the roadway associated with the road sign.

A vehicle includes a navigation device, a sensor device, and a control device configured to identify an entry of the vehicle into a predetermined section of a road through the navigation device. In particular, the control device may identify at least one of a curvature of the road, a speed of the vehicle, or an acceleration of the vehicle through the sensor device in response to the entry of the vehicle into the predetermined section, and perform a lateral control of the vehicle based on at least one of the curvature of the road, the speed of the vehicle, or the acceleration of the vehicle.

A vehicle includes a position recognition module that creates position information, a road information combining module configured to create first precise map information including a driving route of the vehicle, an object combining module that creates second precise map information including a driving route of a surrounding vehicle around the present vehicle, a lane link determination module that selects, from the second precise map information, a lane link at which a first lane and a second lane intersect or join each other, a target determination module configured to determine a target vehicle, a pass priority determination module that determines a pass priority at which each of the present vehicle and the target vehicle passes through the lane link, an object route creation module that creates a driving route of the target vehicle, and an adaptive route determination module that determines an adaptive driving route of the present vehicle.

Aspects of the disclosure may enable autonomous vehicles to respond to emergency vehicles. For instance, sensor data identifying an emergency vehicle approaching the autonomous vehicle may be received. A predicted trajectory for the emergency vehicle may be received. Whether the autonomous vehicle is impeding the emergency vehicle may be determined based on the predicted trajectory and map information identifying a road on which the autonomous vehicle is currently traveling. Based on a determination that the autonomous vehicle is impeding the emergency vehicle, the autonomous vehicle may be controlled in an autonomous driving mode in order to respond to the emergency vehicle.

A method for evaluating a minimum breaking distance of a vehicle, in particular a car. The method comprises the step of obtaining at least one image in a movement direction of the vehicle associated substantially with an actual location of vehicle. A first road type indication from the at least one image is determined by a trained neural network architecture. Second road type indication associated with the actual location of the car are obtained from a database and compared with the first road type indication. If the second road type indication supports the determined first road type indication, an adjustment parameter associated with one of the at least first and second road type indication is selected. If second road type indication does not support the determined first road type indication, a default adjustment parameter as adjustment parameter is selected. Finally, a minimum breaking distance using the adjustment parameter is set.

Techniques for accurately predicting and avoiding collisions with objects detected in an environment of a vehicle are discussed herein. A vehicle computing device can implement a model to output data indicating costs for potential intersection points between the object and the vehicle in the future. The model may employ a control policy and a time-step integrator to determine whether an object may intersect with the vehicle, in which case the techniques may include predicting vehicle actions by the vehicle computing device to control the vehicle.

Systems, methods, and non-transitory computer readable media configured to generate enhanced training information. Training information may be obtained. The training information may characterize behaviors of moving objects. The training information may be determined based on observations of the behaviors of the moving objects. Behavior information may be obtained. The behavior information may characterize a behavior of a given object. Enhanced training information may be generated by inserting the behavior information into the training information.

Provided is An apparatus for assisting driving of a host vehicle, the apparatus comprising: a camera mounted to the host vehicle and having a field of view in front of the host vehicle, the camera configured to acquire image data; and a controller including a processor configured to process the image data, and configured to receive a map on which the host vehicle travels from a server, compare a speed limit included in the map with a speed limit included in the image data, and control a display of the host vehicle so as to display the speed limit based on the image data.

A controller of a vehicle, while the vehicle is within a predefined geofenced region and responsive to the vehicle entering park, increases a maximum state of charge threshold for the battery and decreases a minimum state of charge threshold for the battery. The controller also, while the vehicle is located within the predefined geofenced region and responsive to the vehicle exiting park, decreases the maximum state of charge threshold and increases the minimum state of charge threshold.