Disclosed are a vehicle navigation guidance system and a vehicle. The system includes: a navigation controller, a steering angle sensor, a motor steering controller and a display controller. The steering angle sensor is communicatively connected to the navigation controller, and is configured to acquire rotational angular velocity information of a wheel relative to a vehicle body, and output the angular velocity information to the navigation controller. The navigation controller is configured to output navigation guidance information according to positioning information and the angular velocity information, where the navigation controller includes a first positioning device, and the first positioning device is configured to acquire the positioning information. The motor steering controller is communicatively connected to the navigation controller, and is configured to perform steering control according to the navigation guidance information. The display controller is communicatively connected to the navigation controller, and is configured to display the navigation guidance information.

A mobile ecosystem includes an autonomous control system in a vehicle. The autonomous control system receives user information from at least one of a user device or the vehicle and identifies a trajectory plan and a vehicle configuration based on the user information. The trajectory plan identifies a departure time for the vehicle to depart a starting location, an arrival time for the vehicle to arrive at a destination location, and a travel route for the vehicle to traverse at least partially between the starting location and the destination location. The trajectory plan may identify an entry time for the user to enter the vehicle. The vehicle configuration identifies travels settings for components in at least one of dynamic systems or interior systems of the vehicle. The autonomous control system causes the components to be configured according to the travel settings and causes the vehicle to traverse the travel route.

A method of processing an image using a camera of a vehicle includes: a first operation of controlling a road wheel of the vehicle according to an imaging mode selected by a user from among a plurality of imaging modes, and a second operation of generating an image according to the imaging mode selected by the user by using the camera while the road wheel of the vehicle is controlled.

Techniques for using ball joint sensor data to determine conditions relevant to a vehicle are described in this disclosure. For example, in one example, the ball joint sensor data may be used to determine a ride height at a portion of the vehicle, which may be used to determine roll data and/or pitch data. The ride height, roll data, and/or pitch data may be directly used to navigate through an environment, such as by the vehicle relying on the data when interpreting sensor data or planning driving operations. Also, the ride height, roll data, and/or pitch data may be used to verify the reliability of other sensor data used to navigate through the environment.

Techniques for using ball joint sensor data to determine conditions relevant to a vehicle are described in this disclosure. For example, in one example, the ball joint sensor data may be used to determine estimated steering data. The estimated steering data may be directly used to navigate through an environment, such as by the vehicle relying on the estimated steering data when planning, tracking, or executing a driving maneuver. Also, the estimated steering data may be used to verify the reliability of other steering sensor data used to navigate through the environment.

A system for controlling stop of a vehicle includes a steering angle comparison device that detects a current steering angle of the vehicle and compares the detected current steering angle with a preset limit steering angle when a malfunction of a steering system in the vehicle is detected during autonomous driving, a partial braking induction determination device that determines a position of a tire of the vehicle to be subjected to partial braking for steering control of the vehicle according to a result of the comparing between the current steering angle and the limit steering angle, and a partial braking control device that determines an amount of braking to be applied to each determined tire of the vehicle and applies a braking pressure corresponding to the amount of braking to each tire of the vehicle to perform the steering control by the partial braking.

An electronic device extracts feature data from an input image, calculates one or more class maps from the feature data using a classifier layer, calculates one or more cluster maps from the feature data using a clustering layer, and generates image segmentation data using the one or more class maps and the one or more cluster maps.

In a network of autonomous or semi-autonomous vehicles, an alert may be triggered when one of the vehicles switches from autonomous to manual mode. The alert may be communicated to nearby autonomous vehicles so that drivers of those vehicles may become aware of a potentially unpredictable manual driver nearby. Drivers of autonomous vehicles who may have become disengaged (e.g., sleeping, reading, talking, etc.) during autonomous driving may become re-engaged upon noticing the alert. A re-engaged driver may choose to switch his/her own vehicle from autonomous to manual mode in order to appropriately react to an unpredictable nearby manual driver. In additional or alternative embodiments, the alert may be triggered or intensified when indications of impairment of a nearby driver or malfunction of a nearby vehicle are detected.

A backup control unit for controlling motion of a heavy-duty vehicle during a minimum risk maneuver, where the backup control unit is arranged to receive data indicative of a planned sequence of vehicle control commands from a main vehicle control unit. The backup control unit comprises a first vehicle model configured to map the planned sequence of vehicle control commands into a desired vehicle behavior and is arranged to obtain a measured vehicle behavior from one or more vehicle sensors. Also, the back-up control unit is arranged to determine an adjusted sequence of vehicle control commands based on the planned sequence of vehicle control commands and on a deviation between the desired vehicle behavior and the measured vehicle behavior, and to transmit the adjusted sequence of vehicle control commands to a motion support device, MSD, control unit of the vehicle.

The present disclosure relates to a system and a method for avoiding a collision for a vehicle. The system includes an operation determining device for determining whether the vehicle has entered a parking lot based on location information and inclination information of the vehicle, and a controller that generates a virtual map about an obstacle on a curved road in the parking lot based on image information and distance information when it is determined that the vehicle has entered the parking lot, generates an expected movement trajectory of the vehicle based on steering information and speed information of the vehicle, and predicts the collision of the obstacle in the virtual map and the vehicle depending on the expected movement trajectory based on the virtual map and the expected movement trajectory.