The present technology provides systems, methods, and devices that can update aspects of a map as an autonomous vehicle navigates a route, and therefore avoids the need for dispatching a special purpose mapping vehicle for these updates. As the autonomous vehicle navigates the route, data captured by at least one sensor of an autonomous vehicle can indicate an inconsistency between pre-mapped from a high-resolution sensor system describing a location on a map, and current data describing a new feature of the location. The current data can be clustered together based on a threshold spatial closeness, where the clustering describes the new feature, and semantic labels of the pre-mapped data from the high-resolution sensor system can be updated based on the new feature described by the clustered current data.

A server-based system for generating a map for storing a turn signal activation location along a road segment may include at least one processor comprising circuitry and a memory. The memory may include instructions that when executed by the circuitry cause the at least one processor to receive drive information from each of a plurality of vehicles that traversed a road segment, wherein the drive information includes turn signal activation information indicating a detected change in state of a turn signal of at least one target vehicle and a location where the detected change in state of the turn signal of the target vehicle occurred; aggregate the turn signal activation information from two or more of the plurality of vehicles to generate a refined location of a turn signal activation location associated with the road segment; store an indicator of the refined location of the turn signal activation location in a map; store an indicator of the refined location of the turn signal activation location in a map; and distribute the map to one or more vehicles that later traverse the road segment.

An illuminating apparatus includes an illuminance sensor mounted on a vehicle and configured to detect an illuminance outside the vehicle as a detected illuminance, a location sensor mounted on the vehicle and configured to detect a location of the vehicle as a detected location, and a controller configured to store one or more illuminance thresholds that are thresholds of the illuminance and monitor whether there is a crossover phenomenon that the detected illuminance crosses one of the one or more illuminance thresholds. The controller is configured to transmit crossing data, including information indicating the detected location when the crossover phenomenon occurs and information indicating the detected illuminance when the crossover phenomenon occurs, to a management apparatus outside the vehicle.

A modular control system for controlling an AGV includes an interface, a processor, a memory, and a plurality of programs. The plurality of programs include a task scheduling module, a sensor fusion module, a mapping module, and a localization module. The interface receives a command signal from an AGV management system and sensor signals from a plurality of sensors. The memory stores a surrounding map and the plurality of programs to be executed by the processor. The task scheduling module converts the command signal to generate an enabling signal. The sensor fusion module processes the received sensor signals according to the enabling signal and generates an organized sensor data. The mapping module processes the organized sensor data and the surrounding map to generate an updated surrounding map. The localization module processes the organized sensor data and the updated surrounding map to generate a location and pose signal.

A map (1) to be used by a vehicle which can measure magnetism acting from a road surface side forming a surface of a road to estimate an own vehicle position includes a structure map (M1) which represents a road structure and has position data indicating an absolute position linked to each point and a road-surface magnetic distribution (M2) which is magnetic data at each point on the road surface and has position data indicating an absolute position linked to each point. In the map (1), the structure map (M1) and the road-surface magnetic distribution (M2) are associated with each other via the position data indicating the absolute position.

To provide an information processing device configured to: acquire correspondence information between a key frame and a query image, the key frame being disposed in advance on map data; and combine a plurality of pieces of the map data on the basis of the correspondence information.

A map construction method and a related apparatus are provided. The method includes: obtaining, based on manual driving track data and/or an obstacle grid map, road information, intersection information, and lane information of a region through which a vehicle has traveled; obtaining road traffic direction information based on the manual driving track data and the road information, and obtaining lane traffic direction information based on the lane information and the road traffic direction information; obtaining intersection entry and exit point information based on the intersection information and the lane traffic direction information; and performing, based on the intersection entry and exit point information, an operation of generating a virtual topology center line to obtain an autonomous driving map of the region through which the vehicle has traveled, where the virtual topology center line is a traveling boundary line of the vehicle in an intersection region.

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 method for controlling a vehicle can include determining a driver state based on physiological response of an operator and navigational irregularities from observed driving patterns. The physiological response may indicate observed driver stress based on bodily responses that can include respiration, heart rate, ocular movement, or other stress indicators. The method further includes determining a vehicle route having a trip start position, a path to a present position, and a trip destination, and identifying a navigation irregularity based on the vehicle route, the driver state, and a historic record driving patterns. The method may include displaying a navigation assistant output on a heads-up Human Machine Interface (HMI) based on the navigation irregularity and the physiological response of the user. The system may provide user-selectable navigation assistance including placing a phone call to a family member for navigation guidance, providing turn-by-turn navigation guidance via the heads-up HMI, and/or other measures.

An approach is provided for calculating a payload survivability estimate and generating aerial routes based on the payload survivability estimate. The approach, for example, involves processing data, such as map data representing the geographic area to identify at least one map feature, at least one material corresponding with the at least one map feature, or a combination thereof. The payload survivability estimate can be based on real-time data, historical data, or a combination thereof. The approach also involves generating a map data layer of a geographic database based on the payload survivability estimate. The approach further involves providing the map data layer as an output.