Depth data processing systems and methods are disclosed. A mapping system receives, from one or more depth sensors, depth sensor data that includes a plurality of points corresponding to an environment. The mapping system uses one or more trained machine learning models to perform semantic segmentation of the plurality of points, to classify a first subset of the points into a first category and to classify a second subset of the points into a second category. The mapping system clusters the plurality of points into a plurality of clusters based on the semantic segmentation. At least some of the first subset of the points are clustered into a first cluster and at least some of the second subset of the points are clustered into a second cluster. The mapping system generates a map of at least a portion of the environment based on the plurality of clusters.

The present disclosure relates to a method for calculating a hazard zone of vehicle-pedestrian collision and a safety evaluation system. The method for determining the hazard zone of vehicle-pedestrian collision includes: detecting and outputting vehicle information and pedestrian information; determining whether the pedestrian notices the vehicle; further assuming that the vehicle makes an immediate reaction or not corresponding to a case that the pedestrian takes the active evasive action and a case that the pedestrian does not take an active evasive action, respectively; and determining the hazard zone of vehicle-pedestrian collision, according to a determination whether the pedestrian takes the active evasive action or not and an assumption whether the vehicle makes the immediate reaction or not. In the method for determining the hazard zone of vehicle-pedestrian collision of the present disclosure, an active evasive ability of the pedestrian and the immediate reaction of the vehicle are considered, which makes an identification of the hazard zone of vehicle-pedestrian collision more complete. In the present disclosure, hazard zones of collision are determined effectively, which may effectively improve safety of the pedestrian and driving comfort of the vehicle during a vehicle-pedestrian interaction.

A path providing device for providing a route to a vehicle includes a first communication module configured to receive a high-definition (HD) map information from an external server, a second communication module configured to receive external information generated by an external device located within a predetermined range from the vehicle, and a processor configured to generate forward path information for guiding the vehicle based on the HD map and provide the forward path information to at least one of electric components provided in the vehicle. The processor is configured to generate dynamic information related to an object to be sensed by the at least one of the electric components based on the external information and to match the dynamic information to the forward path information.

A target vehicle speed generating device basically includes a determination unit and a correction unit. The determination unit determines whether or not a sudden change point is present in the target vehicle speed contained in the corrects the target vehicle speed so as to eliminate the sudden change point upon determining that the sudden change point is present by the determination unit. The sudden change point corresponds to a point at which acceleration changes in excess of a predetermined condition.

A vehicle sharing system includes a vehicle having interior transceiver modules associated with different passenger seating areas and a vehicle computing system (VCS) including a processor and a memory in communication with the modules and programmed to detect occupancy status of each seating area based on signals from the modules and to communicate the occupancy statuses to a remote server to facilitate scheduling of ride-sharing passengers for a specified seating area of the vehicle. The reserved seating location may be used to align the seating location/door with a passenger during pick-up, adjust vehicle accessory settings associated with the reserved seating location, and activate a visual indicator to direct the passenger to the assigned/reserved seating location.

An example operation may include one or more of identifying a person as a roadway obstruction via a transport moving along the roadway, determining a first threat level of the person at a first time, via the transport, when the first threat level is above a threshold, indicating via the transport, to alert at least one of an occupant of the transport and the person, detecting a gesture, via the transport, performed by the person, and the gesture indicates the transport should proceed, responsive to detecting the gesture, determining a second threat level at a second time is below the threshold, and responsive to the second threat level being below the threshold, proceeding, by the transport, along the roadway.

A drive assist apparatus includes: a driving environment information obtaining unit that obtains driving environment information ahead of a vehicle; a target course setter that sets a target course; an object recognizer that recognizes a moving object and a stationary object; an object detection area setter that sets an object detection area; and a driving control arithmetic unit that controls the vehicle's driving state. The driving control arithmetic unit includes a before-entering-sharp-curvature controller and a passing-sharp-curvature controller including a lost determiner that determines whether the moving object overlaps with the stationary object and is lost, and a lost retention time setter that sets a lost retention time to be long. The passing-sharp-curvature controller includes a passing speed setter that sets a passing speed to a value less than a speed set when there is no change in the lost retention time.

A method for controlling a vehicle including specifying an object, an attribute of the object, and the strength and direction of wind influencing the object based on an image captured by an imager imaging the surroundings of a vehicle, setting a risk region for the object based on the attribute of the object and the strength and the direction of the wind that are specified, and controlling a speed and steering of the vehicle based on the risk region set by the setter.

A crosswalk navigation system for operating an automated vehicle in an intersection includes an intersection-detector, a pedestrian-detector, and a controller. The intersection-detector is suitable for use on a host-vehicle. The intersection-detector is used to determine when the host-vehicle is proximate to an intersection and determine when the intersection includes a cross-walk. The pedestrian-detector is suitable for use on the host-vehicle. The pedestrian-detector is used to determine a motion-vector of a pedestrian relative to the cross-walk. The controller is in communication with the intersection-detector and the pedestrian-detector. The controller is configured to determine a travel-path of the host-vehicle through the intersection, determine when the pedestrian will pass through an intersect-location where the travel-path intersects the cross-walk based on the motion-vector, and operate the host-vehicle to enter the intersection before the pedestrian passes through the intersect-location and to arrive at the intersect-location after the pedestrian passes through the intersect-location.

A driving assistance apparatus is configured to determine whether a preset deceleration assistance start condition is satisfied, start deceleration assistance for a driver's vehicle against a first deceleration-triggering object, determine whether a preset deceleration assistance termination condition is satisfied, issue a deceleration assistance termination notification to a driver of the driver's vehicle, determine whether a second deceleration-triggering object is detected ahead of the driver's vehicle, and determine whether a preset quick resumption condition is satisfied. The driving assistance apparatus is configured not to issue the deceleration assistance termination notification when the driving assistance apparatus determines that the quick resumption condition is satisfied, even in a case where the driving assistance apparatus determines that the deceleration assistance termination condition for the first deceleration-triggering object is satisfied.