A trajectory for an autonomous machine may be evaluated for safety based at least on determining whether the autonomous machine would be capable of occupying points of the trajectory in space-time while still being able to avoid a potential future collision with one or more objects in the environment through use of one or more safety procedures. To do so, a point of the trajectory may be evaluated for conflict based at least on a comparison between points in space-time that correspond to the autonomous machine executing the safety procedure(s) from the point and arrival times of the one or more objects to corresponding position(s) in the environment. A trajectory may be sampled and evaluated for conflicts at various points throughout the trajectory. Based on results of one or more evaluations, the trajectory may be scored, eliminated from consideration, or otherwise considered for control of the autonomous machine.

Provided is a display control apparatus that generates a display overhead image including overhead images of each of a vacant parking space and a vehicle and outputs the display overhead image to a display apparatus. The display overhead image includes at least one of an overhead image of the vacant parking space outside of a current viewing angle of a vehicle-mounted camera and an overhead image of the vacant parking space hidden behind a static object as seen from a current position of the vehicle.

Methods and devices for operating a Self-Driving Car (SDC) are disclosed. The method includes generating a first graph-structure having nodes and edges, ranking the edges based on a priority logic into a ranked list of edges, and generating a second graph-structure (i) by iteratively generating attributes for respective ones from the ranked list of edges beginning with a highest priority edge in the ranked list of edges and (ii) until a pre-determined limit is met. The method also includes causing operation of the SDC on the road segment using the second graph-structure.

A moving object that travels from a current position toward a target position includes a first section candidate searching unit configured to search for a plurality of first section candidates in which the moving object is capable of traveling from the current position, a second section candidate searching unit configured to, for each ending point of the first section candidates, search for a plurality of second section candidates in which the moving object is capable of traveling from the ending points of the first section candidates, an obstacle position recognition unit configured to detect a position of an obstacle around the moving object, and a route decision unit configured to decide a first section and a second section used as a traveling route of the moving object from the plurality of first section candidates and the plurality of second section candidates.

A vehicle driving support system evaluates the ability of a driver based on the driving operation of the driver for each of a plurality of driving-related functions possessed by the driver to drive the vehicle. In addition, the vehicle driving support system determines whether the ability of the driver is less than a predetermined standard for each of the driving-related functions and is not improved from then on, based on the past evaluation result of the ability of the driver. When determining that the ability of the driver is less than the predetermined standard for at least a part of the driving-related functions and is not improved from then on, the vehicle driving support system performs substitution control that causes a vehicle to perform the part of the driving-related functions instead so as to perform driving even if the driver does not exert the ability.

Systems and methods for vehicle motion control with interactive object annotation are provided. A method can include obtaining data indicative of a plurality of objects within a surrounding environment of the autonomous vehicle. For example, the plurality of objects can include at least at one problem object encountered by the autonomous vehicle while navigating a planned route. The method can include determining a group of objects of the plurality of objects. For example, the group of objects can include the problem object and one or more other objects in proximity to the problem object. The method can include determining a classification update to be applied to the group of objects. The method can include applying the classification update to the group of objects. The method can include providing data indicative of the classification update for the group of objects to the autonomous vehicle for use in motion planning.

A method for eliminating sensor errors, in particular ambiguities when detecting dynamic objects, by a control device, is provide. Measurement data are received from at least one first sensor and object hypotheses are formed from the received measurement data. Data of at least one reference object, which is detected based on measurement data from at least one second sensor, are received. The formed object hypotheses are compared with the at least one detected reference object. Object hypotheses that do not match the detected reference object are rejected. A method for eliminating sensor errors, in particular ambiguities when detecting static objects is also provided.

In a method for moving a vehicle out of a parking area, the vehicle obtains map information of the parking area and determines a current parking space of the vehicle and an exit location of the parking area. The vehicle determines a plurality of target departure routes from the current parking space to the exit location, and identifies blocking vehicles on the target departure routes that blocks it from reaching the exit. The vehicle estimates the preferability of each of the target departure routes based on a number of blocking vehicles on the target departure route and a difficulty level of removing the blocking vehicles from the target departure route. The vehicle then selects from the target departure routes a preferred departure route, and transmits requests to remove the blocking vehicles off the preferred departure route.

A navigation system for a host vehicle is provided. The system may comprise at least one processing device comprising circuitry and a memory. The memory includes instructions that when executed by the circuitry cause the at least one processing device to: receive a plurality of images acquired by a camera, the plurality of images being representative of an environment of the host vehicle; analyze the plurality of images to identify a presence in the environment of the host vehicle a navigation rule suspension condition; temporarily suspend at least one navigational rule in response to identification of the navigation rule suspension condition; and cause at least one navigational change of the host vehicle unconstrained by the temporarily suspended at least one navigational rule.

The disclosure provides an obstacle avoidance control method and device, an advanced driver-assistance system, a vehicle, and a medium. The method includes the steps of: receiving vehicle sensor data; calculating an obstacle safe boundary and a lane safe boundary based on the vehicle sensor data; and determining a passing region and a passing status for a current vehicle according to the obstacle safe boundary and the lane safe boundary.