Embodiments of the disclosure provide a warning method and apparatus for a driving risk, a computing device and a storage medium, and the method includes: obtaining dangerous driving behavior data of a driver in a first time period, and obtaining a correspondence between a quantity of occurrences of dangerous driving behaviors of one or more drivers and a quantity of an actual occurrence of dangerous scenarios to the one or more drivers while driving; predicting, based on a quantity of actual occurrences of the dangerous driving behaviors of the driver, indicated in the dangerous driving behavior data of the driver, and the correspondence, a target quantity of times the driver is predicted to encounter one or more dangerous scenarios in the first time period; and generating warning information based on the target quantity of times.

A method for fault detection is adapted for a vehicle display fault detection system. The vehicle display fault detection system includes a vehicle system and a display system. The method for fault detection includes following steps: detecting whether a first state of the display system is abnormal or not; when the first state is abnormal, the display system is configured to generate a fault detection signal; classifying to generate a control signal according to the fault detection signal; and adjusting the first state of the display system to a second state.

According to various embodiments, systems, methods, and media for evaluating an open space planner in an autonomous vehicle are disclosed. In one embodiment, an exemplary method includes receiving, at a profiling application, a record file recorded by the ADV while driving in an open space using the open space planner, and a configuration file specifying parameters of the ADV; extracting planning messages and prediction messages from the record file, each extracted message being associated with the open space planner. The method further includes generating features from the planning message and the prediction messages in view of the specified parameters of the ADV; and calculating statistical metrics from the features. The statistical metrics are then provided to an automatic tuning framework for tuning the open space planner.

Informed towing is provided. Towing information is identified, by a towing vehicle, with respect to a towed vehicle to be towed by the towing vehicle. A towed configuration of the towed vehicle is monitored. Responsive to the towed configuration of the towed vehicle being incorrect according to the towing information, a warning is displayed in the HMI indicating the incorrect towing configuration.

Methods and systems are provided for detecting and responding to dangerous road users. In some aspects, a process can include steps for receiving sensor data of a detected object from an autonomous vehicle, determining whether the detected object is exhibiting a dangerous attribute, generating output data based on the determining of whether the detected object is exhibiting the dangerous attribute, and updating a machine learning model based on the output data relating to the dangerous attribute.

A system for receiving user input from an internal vehicle component surface includes a flat surface layer of the internal vehicle component that includes a first portion made of an elastic material and a second portion that surrounds the first portion, and a push-button assembly located beneath the first portion of the flat surface layer. The push-button assembly includes a push-button switch that is switched into at least a first switching state by downward pressure, and a vertical movement mechanism that when activated causes the push-button switch to move vertically in a direction of the flat surface layer. Vertical movement of the push-button switch causes a vertical displacement of the first portion of the flat surface layer, and downward pressure on the first portion of the flat surface layer when vertically displaced causes a corresponding downward pressure to the push-button switch, switching the push-button switch into the first switch state.

A processor is configured to execute instructions stored in a memory to determine, in response to identifying vehicle operational scenarios of a scene, an action for controlling the AV, where the action is from a selected decision component that determined the action based on level of certainty associated with a state factor; generate an explanation as to why the action was selected, such that the explanation includes respective descriptors of the action, the selected decision component, and the state factor; and display the explanation in a graphical view that includes a first graphical indicator of a world object of the selected decision component, a second graphical indicator describing the state factor, and a third graphical indicator describing the action.

An information processing device acquires question information. The information processing device acquires vehicle state information representing a state of the vehicle. The information processing device acquires answer information in response to the question information, the answer information including an image for display. The information processing device, in a case in which the vehicle state information represents that the vehicle is traveling, stores the answer information in a storage. The information processing device, in a case in which the information processing device acquires vehicle state information representing that the vehicle is stopped, outputs the answer information stored in the storage.

A position and attitude estimation apparatus includes sub-sensor input accepters, a speed sensor state determiner, a scale estimator, and a position and attitude information corrector. The sub-sensor input accepter accepts an output of a sub-sensor which acquires information regarding a movement amount based on information other than an output value of a speed sensor. The speed sensor state determiner determines whether the output value of the speed sensor is reliable. The scale estimator estimates a size of the movement amount based on at least one of the output value of the speed sensor and an output value of the sub-sensor. The position and attitude information corrector corrects position and attitude information based on the size of the movement amount estimated by the scale estimator.

Upon determining a vehicle is in an off-road area based on sensor data, an off-road operation mode is enabled to an enabled state. Then, upon receiving a first user input selecting the off-road operation mode, one or more assist features are represented on a display in the vehicle. Then at least one of the assist features is selected based on a second user input. Then, after a key cycle initiated by a user that engages the vehicle from an off state to an on state, the selected assist feature is deactivated to a deactivated state.