Embodiments of the present disclosure relate to a method and apparatus for generating information. The method can include: acquiring first driving environment data of a target road segment; comparing the first driving environment data with pre-stored second driving environment data of the target road segment, and determining a difference between the first driving environment data and the second driving environment data; and generating, in response to determining the difference satisfying a preset condition, road abnormality information.

Embodiments of the present disclosure relate to a method and apparatus for generating information. The method can include: acquiring first driving environment data of a target road segment; comparing the first driving environment data with pre-stored second driving environment data of the target road segment, and determining a difference between the first driving environment data and the second driving environment data; and generating, in response to determining the difference satisfying a preset condition, road abnormality information.

Provided are a method for navigating a vehicle and an electronic device, which relate to the field of computers, in particular to the field of Internet of vehicles, automatic driving, and intelligent cabins. The method may include in response to a target vehicle being driving to a target location, weather information of an environment where the target vehicle is located is detected. On the basis of the weather information, a weather level of the environment is determined. In response to the weather level is higher than a target weather level, the at least one candidate parking area is acquired. And a target parking area is determined from the at least one candidate parking area, and on the basis of the target parking area, a navigation route of the target vehicle is determined.

Provided are a method for navigating a vehicle and an electronic device, which relate to the field of computers, in particular to the field of Internet of vehicles, automatic driving, and intelligent cabins. The method may include in response to a target vehicle being driving to a target location, weather information of an environment where the target vehicle is located is detected. On the basis of the weather information, a weather level of the environment is determined. In response to the weather level is higher than a target weather level, the at least one candidate parking area is acquired. And a target parking area is determined from the at least one candidate parking area, and on the basis of the target parking area, a navigation route of the target vehicle is determined.

A navigation system includes a server apparatus connected to vehicles via a network and a navigation apparatus connected to the server apparatus via the network. The server apparatus receives, from a first vehicle, traffic-related information related to snow on a road on which the first vehicle has traveled or slipperiness of the road, and location information of the road; generates difficulty information for the road related to a travel difficulty caused by the snow or the slipperiness; and transmits the difficulty information and the location information to the navigation apparatus movable together with a second vehicle identical to or different from the first vehicle. The navigation apparatus receives the difficulty information and the location information; sets a traffic regulation for passage of the second vehicle through the road; and sets, for the second vehicle, a travel route based on the traffic regulation.

A navigation system includes a server apparatus connected to vehicles via a network and a navigation apparatus connected to the server apparatus via the network. The server apparatus receives, from a first vehicle, traffic-related information related to snow on a road on which the first vehicle has traveled or slipperiness of the road, and location information of the road; generates difficulty information for the road related to a travel difficulty caused by the snow or the slipperiness; and transmits the difficulty information and the location information to the navigation apparatus movable together with a second vehicle identical to or different from the first vehicle. The navigation apparatus receives the difficulty information and the location information; sets a traffic regulation for passage of the second vehicle through the road; and sets, for the second vehicle, a travel route based on the traffic regulation.

An approach is provided for generating speed profile data given a road attribute using machine learning. The approach involves, for instance, determining a location of a road attribute in a road network. The approach also involves determining an analysis distance before and after the location of the road attribute in the road network. The approach further involves retrieving probe data collected using one or more location sensors of one or more vehicles traversing the analysis distance before and after the location of the road network. The approach further involves processing the probe data using a machine learning model to determine one or more machine-learned speed profiles of one or more road segments of the road network within the analysis distance and providing the one or more machine-learned speed profiles as an output.

An approach is provided for generating speed profile data given a road attribute using machine learning. The approach involves, for instance, determining a location of a road attribute in a road network. The approach also involves determining an analysis distance before and after the location of the road attribute in the road network. The approach further involves retrieving probe data collected using one or more location sensors of one or more vehicles traversing the analysis distance before and after the location of the road network. The approach further involves processing the probe data using a machine learning model to determine one or more machine-learned speed profiles of one or more road segments of the road network within the analysis distance and providing the one or more machine-learned speed profiles as an output.

Using a read sensor to sense wrong-way driving. A method may include sensing, by a rear sensor of a vehicle, an environment of the vehicle to provide rear sensed information; processing the rear sensed information to provide at least one rear-sensed vehicle progress direction indications; generating or receiving at least one front-sensed vehicle progress direction indications; wherein the at least one front-sensed vehicle progress direction indications is generated by processing front-sensed information acquired during right-way progress; comparing at least one rear-sensed vehicle progress direction indications to the at least one front-sensed vehicle progress direction indications to determine whether the vehicle is wrong-way driving; and responding to the finding of the wrong-way driving.

The present invention relates to: an apparatus and system for detecting a road surface condition, wherein the road surface condition is determined through a sound signal; and a method for detecting a road surface condition by using same. The apparatus for detecting a road surface condition according to the present invention comprises: a sensor unit which is installed on a road and measures a sound signal generated according to a moving of a moving object on the road; and a control unit which distinguishes the sound signal measured by the sensor unit into normality or abnormality and determines, in case of the abnormality, the road surface condition including at least one of rainfall (wet), frozenness (icy), slush, and snow cover (snowy) so that a quick and accurate action corresponding to the road surface condition of a specific section can be made from a distanced place.