The disclosure provides a lane-level navigation method and system incorporating ADAS fine-sensory data, which comprises the following steps: collecting the real-time road images in front of the vehicle, and pretreating the real-time road images which are collected; extracting lane feature points and determining lane information from the preprocessed images; extracting feature points and contour edge lines of road signs in the lane area where the vehicle is located in the preprocessed images, and combining with lane signs to generate lane sign feature point information; identifying and outputting the corresponding lane number and lane function, and transmitting recognized information to the vehicle navigation center control platform, or transmitting to a mobile terminal navigation APP; generating automatic navigation instructions to provide a driver with precise lane-level movements. By effectively fusing ADAS data, the method of the present invention has the advantages of low cost, good compatibility.

The invention relates to a method for displaying lane information in a vehicle. In the method, the present position of the vehicle on a route is captured. A number of existing traffic lanes at the present position in the direction of travel of the vehicle on the route is determined. Furthermore, the lane course of the existing traffic lanes that lies ahead of the vehicle in the direction of travel of the vehicle is determined, wherein a first traffic lane is determined from the lane course, which is a target traffic lane for the vehicle. In a first display region, a first display is generated, which shows a schematic illustration of the existing traffic lanes at the present position of the vehicle, which schematic illustration comprises schematic traffic lanes, wherein the number of the schematic traffic lanes corresponds to the number of the existing traffic lanes, such that an existing traffic lane is assigned a schematic traffic lane in each case. Moreover, for at least one first schematic traffic lane, a graphic object is generated which indicates whether the traffic lane assigned to the first schematic traffic lane is the target traffic lane, A first change position on the route is determined, as of which a second and no longer the first traffic lane is the target traffic lane for the vehicle and a second display is generated in a second display region, which shows a schematic illustration of the existing traffic lanes at the first change position on the route.

A method for receiving autonomous vehicle (AV) map data associated with an AV map of a geographic location and coverage map data associated with a coverage map of the geographic location. The AV map data is associated with an AV lane of a roadway in the geographic location, and the coverage map data is associated with a coverage lane of the roadway in the geographic location. The method includes generating a hybrid map of the geographic location based on the AV map data and the coverage map data and providing hybrid map data associated with the hybrid map for routing of an AV. The hybrid map includes the AV lane linked with the coverage lane of the roadway.

The present application provides a method for detecting map error information, an apparatus, a device, a vehicle and a storage medium, where the method includes: acquiring current environmental feature information around a vehicle; and detecting, according to the current environmental feature information and map data, whether the map data is erroneous. Whether the map data is erroneous is detected in real time based on the current environmental feature information during the process of the actual traveling of the vehicle, which improves timeliness and efficiency for the map error detection, thereby the map data can be corrected in time and the traveling safety of the vehicle may be improved.

Providing explanations in route planning includes determining a route based on at least two objectives received from a user, where a second objective of the at least two objectives is constrained to within a slack value of a first objective of the at least two objectives; receiving, from the user, a request for an explanation as to an action along the route; and providing the explanation to the user. The explanation describes an extent of violating the slack value.

A map information correction method for correcting map information includes information of a lane boundary line, the method further including: detecting a position with respect to an own vehicle of a lane boundary line set in place on a road surface around the own vehicle; estimating an own position on a map of the own vehicle; and correcting, depending on the estimated own position and the detected position of the lane boundary line, a position of the lane boundary line included in the map information by, in a first region comparatively close to the own vehicle, a larger rotational correction amount than in a second region comparatively far from the own vehicle and, in the second region, a larger translational correction amount than in the first region.

Provided is a drive assistance device preventing an unrecommended lane when a vehicle travels, enabling appropriate provision of driving assistance. Specifically, candidates for a way of moving into a selectable lane when the vehicle moves along a planned travel route are identified and obtained by using map information. Then, for a candidate that involves a lane change among the obtained candidates for a way of moving into a lane, a lane change start location at which a lane change starts and a lane change end location at which the lane change ends are set at a location close to a destination on a priority basis, and manner of moving into a lane for the vehicle that is recommended when the vehicle moves is selected from among the candidates for a way of moving into a lane, taking into account the set lane change start location and lane change end location.

A processor of a route providing device provided in a server according to an embodiment of the present invention: at the time of entry into a cruise control mode for causing a vehicle to travel at a speed configured by a user, causes the vehicle to travel at the configured speed in a first lane in which the vehicle is current travelling; and, when another vehicle, which is travelling at a speed slower than the configured speed in front of the vehicle, is sensed through a sensor provided in the vehicle, controls the vehicle in a preconfigured manner.

A control system for controlling a motion of a vehicle to a target driving goal uses a decision-maker configured to determine a sequence of intermediate goals leading to the next target goal by optimizing the motion of the vehicle subject to a first model and tightened driving constraints formed by tightening driving constraints by a safety margin, and uses a motion planner configured to determine a motion trajectory of the vehicle tracking the sequence of intermediate goals by optimizing the motion of the vehicle subject to the second model. The driving constraints include mixed logical inequalities of temporal logic formulae specified by traffic rules to define an area where the temporal logic formulae are satisfied, while the tightened driving constraints shrink the area by the safety margin, which is a function of a difference between the second model and the first model approximating the second model.

The present disclosure provides an automated driving vehicle management system, a management method, an automated driving vehicle, and a program that are capable of appropriately managing the automated driving vehicle. The automated driving vehicle management system including: a map information storage unit that stores map information; an imaginary line management unit that manages an imaginary line imaginarily generated for a road included in the map information; and a communication unit that transmits imaginary line information about the imaginary line to a plurality of automated driving vehicles traveling along the imaginary line.