A vehicle may be operated in a driving mode with autonomous lateral control and in a driving mode with manual lateral control, where the vehicle has a steering lever with a steering lever range, and where the steering lever range represents a circular space which is delimited about 360° by a rotational movement of the steering lever about a steering lever axis of rotation. A method associated with the vehicle may include one or more of the following steps: operating the vehicle in a driving mode with autonomous lateral control; detecting an intrusion in the steering lever range and/or a breaching of a predefined distance from the steering lever range by the vehicle occupant or another object with a sensor unit without the vehicle occupant coming into contact with the steering lever; and signaling the intrusion and/or the breaching of the distance to the vehicle occupant.

An apparatus and method for controlling driving of a vehicle are provided and the apparatus includes a lamp that projects a lamp light onto one of a left floor surface or a right floor surface of the vehicle, a camera that obtains an image of an area onto which the lamp light is projected, and a controller that determines whether to output a warning based on the image of the area onto which the lamp light is projected when the lamp light is projected onto a boundary stone located around at least one of the left floor surface or the right floor surface of the vehicle.

Disclosed is a driver assistance system including a camera installed in a vehicle, the camera having a field of view around the vehicle and obtaining an image data; and a controller configured to process the image data. The controller performs a lane keeping assistance control for providing an auxiliary steering torque to a steering actuator to maintain a driving lane of a vehicle. The controller changes at least one of a vehicle speed and the auxiliary steering torque depending on a payload of the vehicle during the lane keeping assistance control.

An apparatus includes at least one camera configured to capture an image of a traffic lane in front of a vehicle. The apparatus also includes a vehicle behavior prediction controller configured to determine lane boundaries and road curvature for a segment of a traffic lane occupied by the vehicle from the captured image and prior captured images; determine lateral distances of the vehicle from the lane boundaries and a rate of departure of the vehicle from the occupied traffic lane that is accurate for the determined road curvature; determine a time to line crossing for the vehicle from the lateral distances and the rate of departure; and activate a lane departure warning indicator based on the determined time to line crossing.

Vehicle alert and control systems and methods taking into account a detected road friction at a following vehicle and a predicted road friction by the following vehicle. The detected road friction between the following vehicle tires and the road surface may be assessed using a variety of methodologies and is used to compute a critical safety distance between the following vehicle and the preceding vehicle and a critical safety speed of the following vehicle. The predicted road friction ahead of the following vehicle may also be assessed using a variety of methodologies (lidar, camera, and cloud-based examples are provided) and is used to compute a warning safety distance between the following vehicle and the preceding vehicle and a warning safety speed of the following vehicle. These functionalities may be applied to vehicle/stationary object warning and response scenarios as well.

A vehicle dash cam may be configured to execute one or more neural networks (and/or other artificial intelligence), such as based on input from one or more of the cameras and/or other sensors associated with the dash cam, to intelligently detect safety events in real-time. Detection of a safety event may trigger an in-cab alert to make the driver aware of the safety risk. The dash cam may include logic for determining which asset data to transmit to a backend server in response to detection of a safety event, as well as which asset data to transmit to the backend server in response to analysis of sensor data that did not trigger a safety event. The asset data transmitted to the backend server may be further analyzed to determine if further alerts should be provided to the driver and/or to a safety manager.

Disclosed are a drinking under influence (DUI) detection system and a DUI detection method based on an MQ3 sensor and an ultra wide band (UWB) radar. The system includes an alcohol detection module, a respiratory detection module, a signal matching module and a drunk driving alarm module, and each module cooperates to complete a detection. The MQ3 sensor-based alcohol detection module is used for alcohol signal capture, alcohol sequence processing and DUI threshold detection; the UWB radar-based respiratory detection module is used for respiratory signal capture, respiratory signal processing and passenger separation and positioning; the signal matching module is used for periodic signal alignment, sequence feature matching and drinker identity confirmation; and the DUI alarm module is used for a system alarm prompt, a data visualization interface and a DUI information uploading.

A road surface marking detection device is applied to a vehicle that includes a first camera that captures an image of at least an area forward of the vehicle, and a second camera that captures an image of at least an area forward of the vehicle and is able to capture a road surface region closer to the vehicle than a road surface region of which the image captured by the first camera. The road surface marking detection device includes a processor that, when a temporary stop sign forward of the vehicle is detected by the first camera, executes a process of detecting a road surface marking corresponding to the detected temporary stop sign by the second camera.

A driver assistance apparatus includes: one or more processors; and one or more memories communicably coupled to the one or more processors. The one or more processors set a control mode of outputting a sound, to a first or second output control mode depending on a predetermined determination condition. The first output control mode includes outputting the sound continuously during travel of a vehicle, while changing the sound with magnitude of behavior of the vehicle. The second output control mode includes outputting, each time the vehicle travels through a predetermined segment of a planned travel route of the vehicle, a reward sound corresponding to stability of the behavior of the vehicle in the predetermined segment traveled. The one or more processors carry out processing of outputting the sound in the first or second output control mode set.

A system and method for assisting drivers of vehicles are described. The systems and methods provide an extended view of the area surrounding the driver's vehicle while providing real-time object trajectory for objects and other vehicles that may enter the driver's reactionary zone. The system and methods capture images of the area surrounding the driver's vehicle and create a composite image of that area in real-time and using Augmented Reality (AR) create a 3-D overlay to warn the driver as objects or other vehicles enter the driver's reactionary zone so that a driver can make more informed driving decisions.