The present teaching relates to method, system, and medium, for operating a vehicle. Real-time data related to the vehicle are received. A current mode of operation of the vehicle and a state of the driver present in the vehicle are determined. A first risk associated with the current mode of operation of the vehicle is evaluated based on the real-time data and the state of the driver in accordance with a risk model. In response to the first risk satisfying a first criterion, a second risk associated with switching the current mode to a different mode of operation of the vehicle is determined based on the state of the driver. The vehicle is switched from the current mode to the different mode when the second risk satisfies a second criterion.

A parking support apparatus is configured to automatically park a target vehicle in a target parking space, which is one parking space out of a plurality of parking spaces. The parking support apparatus is provided with: an acquirer configured to obtain parking information indicating a parking posture of a parked vehicle in one or a plurality of parking spaces around the target parking space, out of the plurality of parking spaces; and a determinator configured to determine a parking posture of the target parking vehicle with respect to the target parking space, on the basis of the obtained parking information.

According to various embodiments, a method for operating a vehicle may include determining a vehicular area having traffic conditions or characteristics different from traffic conditions of a current or previous location of the vehicle; obtaining traffic and driving information for the determined vehicular region; changing or updating one or more of driving model parameters of a safety driving model during operation of the vehicle based on the obtained traffic and driving information; and controlling the vehicle to operate in accordance with the safety driving model using the one or more changed or updated driving model parameters. A vehicle may seamlessly update operational rules and/or handover of traffic and driving information for transitioning from one region to another.

A method includes receiving, at a server, first sensor data from a first vehicle. The method includes receiving, at the server, second sensor data from a second vehicle. The second sensor data includes condition data indicating a road condition. The method includes aggregating, at the server, a plurality of sensor readings to generate aggregated sensor data. The plurality of sensor readings include the first sensor data and the second sensor data. The method further includes transmitting a first message based on the aggregated sensor data to the first vehicle, wherein the first message causes the first vehicle to perform a first action, the first action comprising avoiding the road condition, displaying an indicator corresponding to the engine problem, displaying a booked route, or a combination thereof.

A method for braking a vehicle, including checking whether a trigger criterion for braking the vehicle is present, and if the trigger criterion is satisfied, causing a conditioning braking pulse through brief pulsed braking such that passengers experience brief braking of the vehicle, and immediately thereafter initiating a braking phase in which the vehicle is braked in at least two partial braking regions by an actual ego deceleration that varies with respect to time, wherein each partial braking region is extended over a partial braking interval and merge into one another without the actual ego deceleration changing abruptly, and the actual ego deceleration in at least one of the partial braking regions is changed continuously over the respective partial braking interval such that a different actual jerk is obtained in each partial braking region, and wherein the actual jerk behaves degressively over at least some partial braking regions.

The described aspects and implementations enable efficient identification of real and image signs in autonomous vehicle (AV) applications. In one implementation, disclosed is a method and a system to perform the method that includes obtaining, using a sensing system of the AV, a combined image that includes a camera image and a depth information for a region of an environment of the AV, classifying a first sign in the combined image as an image-true sign, performing a spatial validation of the first sign, which includes evaluation of a spatial relationship of the first sign and one or more objects in the region of the environment of the AV, and identifying, based on the performed spatial validation, the first sign as a real sign.

There is provided an information processing apparatus, an information processing method, and a program, with which an abnormality of a sensor mounted on a vehicle can be detected. The information processing apparatus includes a first data acquisition unit, a second data acquisition unit, a comparison unit, and a detection unit. The first data acquisition unit acquires first data including at least one of position information of an object present in a vehicle surrounding environment or road surface tilt information and a time stamp, the position information and the road surface tilt information being generated by using sensing data of a sensor mounted on a vehicle. The second data acquisition unit acquires second data including at least one of position information of an object present in a vehicle surrounding environment or road surface tilt information and a time stamp, the position information and the road surface tilt information being generated by using sensing data of a sensor other than that of the vehicle. The comparison unit compares the first data with the second data on the basis of the time stamp included in each of the first data and the second data. The detection unit detects an abnormality related to a sensor mounted on the vehicle on the basis of a comparison result by the comparison unit.

Predicting future infrastructure performance of a pathway article based on data for infrastructure performance features that influence predicted infrastructure performance at a future point in time. To predict infrastructure performance at a future point in time, a computing device receives one or more sets of infrastructure performance data for a pathway article that correspond respectively to infrastructure performance features. The infrastructure performance features may influence predicted infrastructure performance of the pathway article at a future point in time and the infrastructure performance data may correspond to a roadway portion. The computing device may generate, based at least in part on applying the one or more sets of infrastructure performance data to a model, at least one infrastructure performance prediction value that indicates predicted infrastructure performance of the pathway article at the future point in time.

A control device for controlling autonomous driving of a vehicle, the control device includes a processor and a memory storing instructions. The instructions, when executed by the processor, cause the control device to perform operations including: switching a control content in the autonomous driving of the vehicle based on a position of the vehicle.

This disclosure relates to a system and method for detecting vehicle events. Some or all of the system may be installed in a vehicle, operate at the vehicle, and/or be otherwise coupled with a vehicle. The system includes one or more sensors configured to generate output signals conveying information related to the vehicle. The system receives contextual information from a source external to the vehicle. The system detects a vehicle event based on the information conveyed by the output signals from the sensors and the received contextual information.