A method that includes obtaining vehicle sensed environment information by at least one sensor of a vehicle; determining, by an initial location estimate module of the vehicle, an initial location estimate of the vehicle; obtaining, by processor of the vehicle, aerial map segment information related to a segment of an aerial map, the segment comprises an environment of the initial location estimate of the vehicle; determining, based on the vehicle sensed information and on the aerial map segment information, to perform the driving related operation within at least the environment of the initial location estimate of the vehicle; and performing the driving related operation.

A data processing system for navigation using-spread spectrum signals herein implements causing a transceiver of the data processing system to transmit a first electromagnetic signal; receiving, via the transceiver, second electromagnetic signals associated with a first object responsive to the first electromagnetic signal, the second electromagnetic signals including first spread-spectrum signals and an identification of the first object incorporated into the first spread-spectrum signals, each respective second electromagnetic signal of the second electromagnetic signals being transmitted from a separate location on the first object; analyzing the second electromagnetic signals to obtain the identification of the first object; and determining a first estimated location of the data processing system relative to the first object by calculating a difference between the time of transmission of the first electromagnetic signal and a respective time of receipt of each of the second electromagnetic signals.

Systems, devices, computer-implemented methods, and/or computer program products that facilitate dynamic curve speed control adaptive to road conditions. In one example, a system can comprise a process that executes computer executable components stored in memory. The computer executable components can comprise a curvature component, a road condition component, and a safety component. The curvature component can generate composite curvature data for a curve of a road preceding a vehicle using digital map data and lane marker data. The road condition component can generate friction data for a surface of the road using sensor data obtained from an on-board sensor of the vehicle. The safety component can determine a safe operational profile for traversing the curve using the composite curvature data and the friction data.

A driving assistance system includes a front camera module (FCM). The system, responsive to processing captured image data from the FCM, generates FCM control signals. The system includes a plurality of vehicle sensors capturing sensor data and an advanced driving-assistance system (ADAS) controller. The ADAS controller, responsive to processing the sensor data, generates ADAS control signals. The ADAS controller generates an ADAS status signal indicating a reliability of the generated ADAS control signals. With the ADAS status signal indicating the reliability of the generated ADAS control signals is at or above a threshold ADAS reliability level, the system controls the vehicle using the ADAS control signal and, responsive to determining that the ADAS status signal indicates that the reliability of the generated ADAS control signals is below the threshold, switches from controlling the vehicle based on the ADAS control signals to controlling the vehicle based on the FCM control signals.

An evacuation running assistance system includes a peripheral environment recognizer to recognize at least a space of a road shoulder and a free space as a non-traffic portion, a time limit setter to set a time limit on the own vehicle for continuing evacuation running, and an evacuation place setter to determine at least one of the road shoulder space and the free space recognized by the peripheral environment recognizer as an evacuation place where the own vehicle is evacuated. A situation determiner determines a situation of an own vehicle as being in one of situations in which evacuation running is to be continued, running of an own vehicle is to be stopped on a lane, and road shoulder evacuation is to be performed based on the time limit. A controller controls the own vehicle based on the situation of the own vehicle determined by the situation determiner.

Disclosed are an apparatus for controlling a vehicle, a system including the apparatus, and a method for controlling the apparatus. The apparatus includes: a reference lane calculator to calculate a reference lane based on a traveling condition of the vehicle; a target determining device to determine a target of interest based on the reference lane and a predicted path of an object around the vehicle; and a control parameter calculating device to calculate a control parameter of the vehicle based on a traveling state of the target of interest.

A parking assistance method is provided. The method includes recognizing image features of a traffic line corresponding to a parking position of a vehicle. A category of the parking position of the vehicle is determined based on the image features of the traffic line. Once the vehicle is determined to be parking illegally based on the category of the parking position of the vehicle; a warning is issued.

A device (16) for determining a discrete representation (30) of a road section ahead of a vehicle (12) includes an input interface (22) for receiving sensor data (20) of a sensor (14) with information about the road section ahead of the vehicle, a setting unit (24) for ascertaining a control distance at which a property of the road section ahead of the vehicle that is relevant for an open-loop control of the vehicle changes based on the sensor data and for setting a support point in a discrete representation of the road section corresponding to the control distance. The setting unit is configured for setting a lower predefined second number (n2) of support points based on a predefined first number (n1) of support points. The device also includes an output interface (26) for outputting the lower predefined second number of support points to an optimizer (52) in order to determine a profile of at least one control parameter for the open-loop control of an open-loop system, a vehicle function based on the second number (n2) of support points.

Provided herein is technology relating to automated driving and particularly, but not exclusively, to a connected reference marker technology configured to serve automated driving systems by providing, supplementing, and/or enhancing autonomous driving functions for connected automated vehicles under normal and abnormal driving scenarios.

A vehicle controller includes a first detector that detects a traveling state of a host vehicle, a second detector that detects a traveling state of an other vehicle that travels along a main lane when the host vehicle is traveling along a merging road, a marking line recognizer that recognizes a marking line of the main lane, and a merging controller that performs merging control of the host vehicle into the main lane based on a transverse moving situation of the other vehicle detected by the second detector, wherein, when a marking line of the main lane is unable to be recognized by the marking line recognizer, the merging controller delays starting of the merging control in comparison with a case in which the marking line of the main lane is able to be recognized by the marking line recognizer.