Disclosed herein is an apparatus for changing a traveling lane based on road situations during autonomous driving.

The apparatus for driver assistance provided in a vehicle includes a camera module, a radar module, and a processor configured to determine whether a traveling route of the vehicle needs to be changed based on received traveling route information of an emergency vehicle and traveling route information of the vehicle upon receiving the traveling route information of the emergency vehicle through a communicator of the vehicle during autonomous driving, and control the autonomous driving along a traveling route changed based on at least one of output data of the camera module or output data of the radar module when it is determined that the traveling route of the vehicle needs to be changed.

The subject technology is related to autonomous vehicles (AV) and, in particular, to calibration of an sensors of an AV on open roads after calibrating the sensors in an undefined training area. An example method includes calibrating a plurality of sensors of the AV based on performing a plurality of training steps of increasing complexity within the undefined environment, wherein the plurality of sensors of the AV are uncalibrated with respect to each other, determining that the AV satisfies an open road requirement to navigate an open road based on completing the plurality of training steps in the undefined environment, and operating the AV on open roads subject to at least one constraint. The method of claim 1, wherein the at least one constraint comprises a list of prohibited maneuvers that limit operation of the AV on open roads. The constraints are configured to dynamically change.

A low clearance detection system for a vehicle. In one example, the system includes a first sensor configured to detect an object in front of the vehicle and generate an object clearance signal. The system includes a second sensor configured to detect a load height of a load of the vehicle and generate a load height signal. The system includes a third sensor configured to detect a distance between the third sensor to a ground surface and to generate a ground reference signal. The system also includes an electronic processor configured to receive the object clearance signal, the load height signal, and the ground reference signal. The electronic processor determines an object clearance threshold, a clearance height of the load, and a load collision condition when the clearance height exceeds the object clearance threshold. In response to determining the load collision condition, the electronic processor controls a vehicle system.

Embodiments are disclosed for reducing unauthorized modifications of object detection systems of motor vehicles. As an example, a method comprises: generating a cryptographic signature for an output of nodes of a fully connected layer of a neural network of an object detection system of a vehicle, the cryptographic signature based in part on a first private key stored in a reply-protected memory block (RPMB), the output at least partially describing a detected object; and, responsive to verifying the cryptographic signature, adjusting vehicle operation based on the detected object. In this way, outputs of the neural network may be verified, so that unauthorized modifications are detected, and system accuracy increases.

Proposed is a shared vehicle service providing method based on a shared vehicle management server communicating with a shared vehicle and a user device. Also proposed is a shared vehicle service providing method for managing an article of a shared vehicle user on the basis of a shared vehicle management server. For example, proposed is a shared vehicle service providing method in which a shared vehicle management server manages dispatch of a shared vehicle and an article of a user on the basis of data acquired from the shared vehicle and a user device.

The present disclosure relates to method for controlling a driving operation of an autonomously controlled vehicle. In particular, a navigation system is controlled to autonomously operate the vehicle in a direction from a position of loss of location to a first upcoming stop position; and to controlling the vehicle to a stand-still operation when the vehicle arrives at the stop position for calibration of a sensor arranged to measure an angular velocity of the vehicle.

A system controls a vehicle. The vehicle implements at least one control application using a variable measured by at least one sensor of a perception system installed in the vehicle. The control system includes an adaptive controller to dynamically activate one or more elementary controllers of a set of elementary controllers including at least two elementary controllers, each elementary controller can apply a control function of a vehicle parameter acting on actuators of the vehicle, the control functions being separate, based on a precision indicator of the perception system determined according to a real-time value of the variable.

A method of automatically controlling a motor vehicle may involve generating environment data and the data being taken as a basis for determining a concealed region of a field of view. A reference point on a boundary between the concealed region and an unconcealed region of the field of view is determined, and at least two risk zones, each risk zone having the reference point as the centre, may be determined. A risk zone of the risk zones (Sa, Sb, Sc) may be assigned a risk characteristic, and the motor vehicle may be controlled on the basis of the risk characteristics.

A vehicle control system is provided to maintain an SOC level of the battery during autonomous operation of the vehicle. The control system is applied to a vehicle that can be operated autonomously by controlling an engine, a motor, a steering system, a brake system etc. autonomously by a controller, and the vehicle is allowed to coast by manipulating a clutch. During autonomous operation of the vehicle, a first coasting mode in which the engine is stopped and the clutch is disengaged is selected if the SOC level is higher than a threshold level, and a second coasting mode in which the engine is activated and the clutch is disengaged is selected if the SOC level is lower than the threshold level.

A vehicle control device includes a scene determination unit determining whether or not a current traveling scene is a traveling-restricted scene, an order setting unit setting priorities corresponding to a restriction with respect to driving behaviors previously classified for different purposes in a case where it is determined that the traveling scene is the traveling-restricted scene and setting priorities with respect to the plurality of driving behaviors in a case where it is not determined that the traveling scene is the traveling-restricted scene, a traveling plan generating unit generating traveling plans corresponding to the plurality of priority-set driving behaviors, an executability determination unit determining executability of each of the plurality of generated driving behaviors, a traveling plan selection unit selecting the traveling plan corresponding to the driving behavior with the highest priority, and a traveling control unit controlling the traveling of the host vehicle based on the traveling plan.