Systems and methods of processing crowdsourced navigation information for use in autonomous vehicle navigation are disclosed. A method may include processing, by a mapping server, crowdsourced navigation information from a plurality of vehicles obtained by sensors coupled to the plurality of vehicles, wherein the navigation information describes road lanes of a road segment; collecting data about landmarks identified proximate to the road segment, the landmarking including a traffic sign; generating, by the mapping server, an autonomous vehicle map for the road segment, wherein the autonomous vehicle map includes a spline corresponding to a lane in the road segment and the landmarks identified proximate to the road segment; and distributing, by the mapping server, the autonomous vehicle map to an autonomous vehicle for use in autonomous navigation over the road segment.

In a drive assistance device, a required space estimation unit estimates a required space which is a space required for a subject vehicle to complete a starting. A required time estimation unit calculates an estimated required time which is an estimate value of a time required to complete the starting at a time of starting the subject vehicle. A collision time estimation unit calculates an estimated collision time which is an estimate value of a time until when an obstacle reaches the required space. A start margin calculation unit calculates a start margin indicating a temporal margin for the subject vehicle to complete the starting until the obstacle reaches the required space based on the estimated required time and the estimated collision time. The notification processing unit notifies a driver of the subject vehicle of the start margin.

A method for calculating a lateral position of an ego motor vehicle on a traffic lane includes calculating a first theoretical lateral position of the ego vehicle, calculating a second theoretical lateral position of the ego vehicle, calculating a third theoretical lateral position of the ego vehicle, calculating the lateral position of the ego vehicle using a weighted average of the first lateral position, the second lateral position, and the third lateral position.

A method for determining a driving maneuver of a vehicle with a control unit includes receiving a measurement data relating to a traffic situation from a sensor, determining a current detection area of the sensor by evaluating the measurement data, and creating a sensor model based on the measurement data. An estimated detection area of the sensor from the measurement data is modelled through forward simulation based on a vehicle position of the vehicle. A change in the estimated detection area of the sensor due to a driving maneuver is determined along with the driving maneuver that causes an increase in the estimated detection area due to the sensor model.

An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statutes for performing safe driving operation. Example embodiments relate to an autonomous vehicle having a trailer coupled to a rear thereof. An example method includes continuously predicting a trailer trajectory that is distinct from a planned trajectory of the autonomous vehicle. The method further includes determining that the predicted trailer trajectory is within a minimum avoidance distance away from a stationary vehicle located on a roadway on which the autonomous vehicle is located. The method further includes modifying the planned trajectory of the autonomous vehicle such that the predicted trailer trajectory satisfies the minimum avoidance distance. The method further includes causing the autonomous vehicle to navigate along the modified trajectory based on transmitting instructions to one or more subsystems of the autonomous vehicle.

The present disclosure describes systems and methods for providing driver assistance. A current vehicle state of a vehicle at a current timestep and an environment map representing an environment of the vehicle at least at the current timestep are obtained. Augmented reality feedback is generated including a virtual vehicle representing a predicted future vehicle state, where the predicted future vehicle state is predicted for a given future timestep based on at least one of the current vehicle state or the current environment. The generated augmented reality feedback including the virtual vehicle is outputted to be displayed by a display device.

Among other things, techniques are described for notifying and explaining the action performed by an autonomous vehicle, including but not limited to: receiving a planned path of a vehicle, a state of the vehicle and environment data of an environment in which the vehicle is operating, receiving a deviation signal, determining whether the deviation signal was reported by a first system or a second system of the vehicle, in response selecting a first set of simulators or a second set of simulators for simulating the vehicle in the environment, simulating the vehicle in the environment using the selected first or second set of simulators, based on results of the simulating, generating a message and presenting the message to at least one occupant of the vehicle.

Disclosed herein is a control apparatus included in a vehicle in automated vehicle and highway systems, the control apparatus including: a steering wheel having at least one touch screen on which a screen for manipulating at least one of the functions of the vehicle is output In addition, a control unit determines an intention of the user related to a selection of any one of the functions of the vehicle and controls a screen for manipulating a function according to the determined intention of the user to be output.

Provided are methods for selection of optimal minimal risk maneuver, which can include receiving at least one first parameter associated with a characteristic of a vehicle and at least one second parameter associated with at least one object external to the vehicle, generating at least one future state for at least one of the first and second parameters, selecting at least one maneuver from a plurality of maneuvers based on the generated future state, determining at least one reward value associated with the selected maneuver, updating the selected maneuver based on the determined reward value to generate an updated maneuver, and operating the vehicle based on the updated maneuver. Systems and computer program products are also provided.

A vehicle control device comprises a unit to detect a distance to an obstacle; a unit to detect a speed of the vehicle; and a reduction support unit to, based on the speed and the distance, perform support for reduction of a speed of the vehicle. The reduction support unit changes the distance at which the reduction support is to be performed between a case where driving during parking and a case where not driving during parking. The distance at which the reduction support is to be performed is, for a first speed range, longer in a case where driving during parking than in a case where not driving during parking, and, for a second speed range, longer in a case where not driving during parking than in a case where driving during parking.