A method for trajectory planning for a commercial vehicle at a traffic junction, in particular including a traffic circle, by a control unit is provided. Trafficability of a lane of the commercial vehicle within a lane width of the traffic junction is checked prior to traveling into the traffic junction, traveling through a center of the traffic junction via an alternative trajectory is checked when normal negotiating of the traffic junction is not possible, and detection and/or prediction of surrounding traffic and trajectory planning of the alternative trajectory are carried out, taking the detected and/or predicted surrounding traffic into account. Moreover, a control unit, a computer program, and a machine-readable memory medium are provided.

A path providing device configured to provide a path information to a vehicle includes: a communication unit configured to receive, from a server, map information including a plurality of layers of data, an interface unit configured to receive sensing information from one or more sensors disposed at the vehicle, a processor, and an event data recorder (EDR) configured to store vehicle status information including first sensor data sensed by a first sensor associated with an operation of the vehicle, and second sensor data sensed by a second sensor associated with surrounding information of the vehicle. The processor is configured to determine an optimal path for guiding the vehicle from an identified lane, generate autonomous driving visibility information, update the optimal path based on dynamic information and the autonomous driving visibility information, and include the vehicle status information stored in the EDR in the autonomous driving visibility information.

Provided are an electronic control device and a vehicle control system capable of reducing a calculation amount and improving reliability of a travel route of a vehicle as compared with a conventional course setting device. An electronic control device 200 is mounted on a vehicle 100. The electronic control device 200 includes a map processing device 210 connected to an external sensor 110 that recognizes an obstacle around the vehicle 100 and a position sensor 120 that acquires position information of the vehicle 100 in a manner capable of information communication. The map processing device 210 includes a storage device 212 that stores map information including travel route information of the vehicle 100. The map processing device 210 records a travel route along which the vehicle 100 avoids an obstacle in the storage device 212, classifies the obstacle into a permanent obstacle and a transient obstacle, and updates the travel route information with an avoiding route based on the travel route along which the vehicle 100 has avoided the permanent obstacle.

A system for location risk determination and ranking based on vehicle events and/or an accident database includes an interface and a processor. The interface is configured to receive accident data and/or event data. The processor is configured to determine a set of incident groups, wherein an incident group of the set of incident groups is associated with a set of accidents of the accident data and/or a set of events of the event data that are grouped by location proximity. The processor is further configured to determine a set of traffic estimations, wherein a traffic estimation of the set of traffic estimations is associated with the incident group of the set of incident groups; and determine a ranking of the set of incident groups based at least in part on the set of accidents, the set of events, and the set of traffic estimations.

The disclosed technology provides solutions for detecting and localizing road signage, such as speed limit signs. A process of the disclosed technology can include steps for receiving a first set of sensor data comprising a signage feature, wherein the first set of sensor data is associated with a first location, receiving a second set of sensor data comprising the signage feature, wherein the second set of sensor data is associated with a second location, and determining a location of the signage feature based on the first location and the second location. Systems and machine-readable media are also provided.

An information processing device has an obtaining unit, a controller, and a giving unit. The obtaining unit can obtain vehicle information. The controller creates first warning information when the passability of a road in the vehicle information indicates non-passable. The controller creates recovery information when the passability of the road at the same position in the vehicle information indicates passable, after creation of the first warning information. The giving unit gives the recovery information.

A driver alert system for an automobile includes a global positioning system adapted to monitor a location of an automobile, and a processor adapted to receive data from the global positioning system, receive data of historical wildlife position and migration habits within a pre-determined range from the automobile, calculate a distance from the automobile to an area of wildlife activity as indicated by the data of historical wildlife position and migration habits within the pre-determined range from the automobile, and provide an alert to a driver of the automobile when the data of historical wildlife position and migration habits indicates wildlife movement within the pre-determined range of the automobile and the automobile is within a triggering distance of such wildlife movement.

In order to provide an enhanced driver assistance system for a vehicle, a prediction of a movement of the third-party vehicle is determined based upon motion data relating to a third- party vehicle travelling in front which has moved out of a region of view of at least one sensor of the vehicle, or relating to an oncoming third-party vehicle which has not yet entered the region of view of the sensor, and based upon map data The driver assistance system is then operated on the basis of the prediction.

A control device included in each vehicle composing a vehicle group predicts a vehicle state of a subject vehicle before a traveling regulation point based on speed information of the subject vehicle, light color information of a traffic signal, and distance information between the subject vehicle and an entrance of the traveling regulation point. Based on the vehicle state, it is determined whether a vehicle of which the vehicle state corresponds to an unenterable state is included in the vehicle group. The unenterable state indicates a state where the subject vehicle cannot enter the traveling regulation point before the traffic signal is changed to the yellow light when its speed is maintained at a current speed. When it is determined that the vehicle in the unenterable state is included in the vehicle group, the subject vehicle is controlled such that it does not enter the traveling regulation point.

A system for identifying redundant road lane detections in map data and subsequently updating the map data to remove the redundant road lane detections is provided. The system may be configured to determine, based on sensor data, a plurality of road lane detections associated with a road link represented by the map data. The system is further configured to determine a cluster for the road link based on a clustering criterion. The system is further configured to establish a plurality of road lane detection groups based on connectivity of the road lane detections in the cluster. The plurality of road lane detection groups is evaluated to identify one or more redundant road lane detections based on one or more of a parallel-detection criterion or a heading difference criterion. The identified redundant road lane detections are used to update the map data by a computer-implemented update process.