Decalibration of a Lidar sensor of a vehicle is identified using a reference and verification measurement, each of which projects at least one line on a road surface. A position of the projected at least one lines from the reference and verification measurements are compared to determine whether the lines are displaced from each other by more than a specified amount, in which case degradation of the Lidar sensor is identified.

A system for controlling an autonomous vehicle when the autonomous vehicle is outside of its operational design domain. The system includes an environment detection system, a vehicle control system, and a first electronic processor. The first electronic processor is configured to detect that an autonomous vehicle is outside of its operational design domain and send a first electronic message. The first electronic message requests that a surrounding vehicle lead the autonomous vehicle until the autonomous vehicle returns to its operational design domain or reaches a predetermined location. The electronic processor is also configured to determine a leading vehicle and control the autonomous vehicle to follow the leading vehicle until the autonomous vehicle returns to its operational design domain or reaches the predetermined location.

A path providing device configured to provide a path information to a vehicle includes: a communication unit configured to receive map information from a server, the map information including a plurality of layers of data, an interface unit configured to receive sensing information from one or more sensors disposed at the vehicle, the sensing information including an image received from an image sensor, and a processor configured determine an optimal path for guiding the vehicle from an identified lane, generate autonomous driving visibility information and transmit the generated autonomous driving visibility information based on the sensing information and the determined optimal path, update the optimal path based on dynamic information related to a movable object located in the optimal path and the autonomous driving visibility information, and control the interface unit to shut off or start an engine of the vehicle based on the autonomous driving visibility information.

An autonomous driving control apparatus for a vehicle includes: a processor that demands a user of a vehicle to take a control authority of the vehicle during an autonomous driving control when a current driving condition is in a limit situation during the autonomous driving control, and starts a minimum risk maneuver to disable reactivation of the autonomous driving control when the control authority is not transferred to the user; and a storage to store a set of instructions to be executed by the processor and data for determination and performance by the processor. In particular, the processor automatically flashes an emergency light when the minimum risk maneuver is started, and controls automatic flashing of the emergency light to not be released by the user when the vehicle is not in a stopped state.

An autonomous running vehicle transmits a camera image around the vehicle photographed by a camera to a remote monitoring center. An obstacle is detected on the basis of information obtained from autonomous sensors including the camera. When an obstacle is detected, the autonomous running vehicle is automatically stopped. The remote monitoring center determines, when the autonomous running vehicle automatically stops, whether or not the run of the autonomous running vehicle is permitted to restart on the basis of the received camera video. When it is determined that the autonomous running vehicle can be restarted, a departure signal is transmitted to the autonomous running vehicle. When the departure signal is received from the remote monitoring center, the autonomous running vehicle restarts running.

An autonomous driving safety control system based on edge infrastructure includes an autonomous driving system controlling autonomous driving, an error detection unit detecting a fallback situation, and a safety controller driving a safety process for each fallback situation by interworking with an edge infrastructure when a fallback situation occurs, wherein the safety controller transmits a fallback situation and location information of a passenger through the edge infrastructure.

Improved tools and techniques for generating stateful rules for behavior-based threat detection enable threat analysts, who do not have advanced computer programming skills, to quickly and easily generate high-level representations of stateful behavioral rules, which are then compiled into a format suitable for execution by a stateful rule processing engine. In some examples, the high-level representations of stateful rules are coded in a high-level, domain specific language (DSL). The DSL may provide high-level primitives suitable for (1) expressing sequences of attack behaviors, (2) tagging computational entities (e.g., threads, processes, applications, systems, users, etc.) with states (e.g., user-defined states), and/or (3) performing operations on endpoint nodes (e.g., reporting activity, blocking activity, terminating processes, etc.).

Aspects of the disclosure relate to a vehicle having an autonomous driving mode and a manual driving mode. The vehicle may include a steering system having one or more processors configured to control the orientation of the one or more wheels based on control commands. The vehicle may also include an autonomous driving control system configured to control the vehicle in an autonomous driving mode by generating the control commands and to send the control commands to the steering system. In addition, the steering system may thermally derate the steering system based on first temperature information for the steering system when the vehicle is operating in a manual drive mode, and the autonomous driving control system may thermally derate the steering system based on second temperature information for the steering system when the vehicle is operating in the autonomous driving mode.

The present disclosure is related to a vehicle control apparatus, a vehicle control system and a vehicle control method thereof. In particular, the present disclosure provides a vehicle control apparatus comprising: a communication device for communicating with a remote control center; and a controller configured to determine a state of each of one or more component devices related to the vehicle performing an autonomous driving, and to generate and output a determination result signal, determine a driving mode of the vehicle as one of a remote driving mode, an emergency action mode, or an autonomous driving maintenance mode based on the determination result signal, and control the vehicle according to the driving mode determined by the driving mode determiner.

A system for monitoring a driver comprises that a first sensor configured to detect first physical condition information of the driver, a second sensor configured to detect first driving state information of a vehicle; and a controller configured to determine whether a physical condition of the driver is abnormal on the basis of the first physical condition information, and determine whether a driving pattern of the driver is abnormal on the basis of the first driving state information.