Systems and methods of deep neural network based parking assistance is provided. A system can receive data sensed by one or more sensors mounted on a vehicle located at a parking zone. The system generates, from a first neural network, a digital map based on the data sensed by the one or more sensors. The system generates, from a second neural network, a first path based on the three-dimensional dynamic map. The system receives vehicle dynamics information from a second one or more sensors located on the vehicle. The system generates, with a third neural network, a second path to park the vehicle based on the first path, vehicle dynamics information and at least one historical path stored in vehicle memory. The system provides commands to control the vehicle to follow the second path to park the vehicle in the parking zone.

An information processing method includes acquiring, from a device mounted on a vehicle, manual driving information indicating vehicle control for manual driving through a driving route section of the vehicle, acquiring from a device mounted on a vehicle, sensor information acquired via sensing on the vehicle through the driving route section. The information processing method further includes generating automated driving information indicating vehicle control for automated driving through the driving route section, based on the sensor information, and generating automated driving possibility information indicating a possibility of the automated driving through the driving route section, based on the manual driving information and the automated driving information.

A method for determining surface characteristics is disclosed. The method may include transmitting a surface penetrating radar (SPR) signal towards a surface from a SPR system. The method may also include receiving a response signal at the SPR system. The response signal may include, at least in part, a reflection of the SPR signal from a surface region associated with the surface. The method may further include measuring at least one of an intensity and a phase of the response signal. The method my additionally include determining, based at least in part on the at least one of the intensity and the phase of the response signal, a surface characteristic of the surface.

A system and method for adaptive cruise control with proximate vehicle detection are disclosed. The example embodiment can be configured for: receiving input object data from a subsystem of a host vehicle, the input object data including distance data and velocity data relative to detected target vehicles; detecting the presence of any target vehicles within a sensitive zone in front of the host vehicle, to the left of the host vehicle, and to the right of the host vehicle; determining a relative speed and a separation distance between each of the detected target vehicles relative to the host vehicle; and generating a velocity command to adjust a speed of the host vehicle based on the relative speeds and separation distances between the host vehicle and the detected target vehicles to maintain a safe separation between the host vehicle and the target vehicles.

A method determines a blockage of a sensor of a plurality of sensors of an ego vehicle. The method determines a prior blockage probability of the sensor of the plurality of sensors; receives sensor data of the sensor of the plurality of sensors; determines a performance of the sensor based on the received sensor data; calculates a posterior blockage probability based on the prior blockage probability of the sensor and the performance of the sensor; and determines the blockage of the sensors using the calculated posterior blockage probability.

Technologies are shown for intervehicle communication involving notification messages sent from one vehicle to another vehicle. Sensor event data from one vehicle can be sent in a wireless message to another vehicle and information from the wireless message displayed to a driver of the other vehicle providing the driver with information that may not be detectable by the sensors in the driver's vehicle. The information from the wireless message can be displayed to the user on a user interface and can include a representation of an object detected by the other vehicle along with information about the position, speed, type or direction of the detected object. User interfaces can include graphical user interfaces, haptic devices and audio devices.

A smart cruise control (SCC) system based on complex information and a method of controlling the same. The method includes setting an SCC user-setting speed as a vehicle speed when an SCC function is turned on, driving a vehicle at the set vehicle speed, deriving vehicle speed limit information of a road section in which the vehicle is travelling from navigation speed limit information, road sign speed limit information, and surrounding vehicle speed information of the road section, and controlling the vehicle speed on the basis of the derived vehicle speed limit information.

In an embodiment, a method includes separating a heterogeneous radio-frequency (RF) signal, received at multiple antennas, into multiple homogenous signals. The multiple antennas have a known positional arrangement. The method further includes estimating a location relative to the known positional arrangement of the antennas of an object producing the RF signal based on phase and amplitude of each homogeneous signal as received at each of the plurality of antennas. The location can further be estimated over multiple time steps, such that velocity and acceleration can be accelerated from the estimated locations.

A pre-collision control ECU performs a pre-collision control in order to preventing a collision between the own vehicle and the object when a control start condition is satisfied. The ECU acquires a velocity threshold Vsth corresponding to a region in which the own vehicle travels based on information to specify the region. When an allowance condition has been satisfied before a timing at which the control start condition is satisfied, the ECU performs the pre-collision control. When the allowance condition has not been satisfied before the timing, the ECU does not perform the pre-collision control. The allowance condition is a condition that an accelerator operation amount is equal to or greater than an operation amount threshold and a vehicle velocity is equal to or lower than the acquired velocity threshold.

A vehicle control system includes an external environment recognition unit configured to recognize an external environment situation, an automated driving control unit configured to perform automated driving for automatically controlling at least one of acceleration/deceleration and steering of a subject vehicle, the automated driving control unit executing handover to switch a driving mode from an automated driving mode to a manual driving mode on the basis of the external environment situation recognized by the external environment recognition unit, a handover prediction unit configured to predict a possibility of occurrence of the handover on the basis of the recognized external environment situation, an output unit configured to output information, and an interface control unit configured to control the output unit so that information for prompting the vehicle occupant to prepare for the handover is output when the handover prediction unit predicts that the possibility of occurrence of the handover is high.