16 results about "Advanced driver assistance systems" patented technology

A method for detecting anomalies in image data captured by a vehicle sensor includes receiving first and second image frames, and first and second observation clouds generated based on LiDAR data capt

This invention provides an advanced driver assistance system (ADAS) automatic lane changing method and system, relating to the field of vehicle control technology. The method includes: when a vehicle is preparing to change lanes from its current lane to a target lane, selecting an optimal lane gap from among target vehicles in the target lane; calculating a first passable speed based on the traffic flow speed of the target lane; and, in response to the first passable speed, the target distance required for the vehicle to cross the lane's dashed line when entering the optimal lane gap, and the target distance between target vehicles after entering the optimal lane gap all satisfying preset lane change activation conditions, initiating a lane change time counter; and, in response to the lane change time counter exceeding a counting threshold, generating a vehicle lane change request for the vehicle to change lanes from the optimal lane gap to the target lane; and, in response to the vehicle lane change request, controlling the vehicle to enter the optimal lane gap to complete the lane change. This invention addresses the problems of overly rule-based lane change decisions and a lack of monitoring for real-time risks and changes in lane change conditions during advanced driver assistance systems (ADAS) automatic lane changing.

A method of operating an advanced driver assistance system (ADAS) can include performing a map data reload operation on a first map data buffer containing map data obtained from a first source. A switching operation can be performed to switch from the first map data buffer to a second map data buffer containing map data obtained from a second source. An electronic horizon can be generated based on the map data contained in the second map data buffer and used to perform a first ADAS operation. Another switching operation involves switching back from the second map data buffer to the first map data buffer, which now contains map data obtained from the first source during the map data reload operation. Then, another electronic horizon can be generated based on the map data contained in the first map data buffer and used to perform one or more ADAS operations.

A method for controlling an actuatable safety device for protecting an occupant of a vehicle includes utilizing an advanced driver assistance system (ADAS) to determine that a vehicle collision is imminent. In response to determining that an imminent vehicle collision exists, a mass-spring-damper model uses a sensed vehicle longitudinal acceleration (IMU_X) to estimate occupant movement that would result from the imminent vehicle collision. The estimated occupant movement is used to determine how to control deployment of the actuatable safety device in response to the collision.

The steering system includes a controller in communication with the sensors. The controller is configured to determine a counter torque to apply to the steering system using a side slip and pull compensation system based on inputs to the steering wheel, apply the counter torque to the steering system, and determine an operating state of an advanced driver assistance system. The controller is further configured to determine an angle of a road surface based on the plurality of sensors when the advanced driver assistance system is activated, and apply an updated counter torque to the steering system when at least one of a magnitude or a direction of the angle of the road surface changes while the advanced driver assistance system is activated.

The present invention relates to systems and methods for verification-as-a-service that enables continuous verification for advanced driver assistance systems and autonomous vehicles. A motor vehicle continuous verification system includes a backend that collects data from a vehicle fleet and wirelessly communicates with the vehicle fleet. The backend wirelessly communicates with at least one customer. A vehicle module is provided on-board each motor vehicle of a plurality of motor vehicles of the vehicle fleet and performs on-board vehicle verification analysis. A fleet-based verification module that manages data defining configurations and capabilities of the plurality of motor vehicles of the vehicle fleet is provided at the backend or cloud-based. A verification manager generates verification tasks based on user-defined or desired outcomes of verification analysis and vehicle fleet availability. A client module, which is remote with respect to the plurality of motor vehicles of the vehicle fleet, has interface items applied by at least one customer seeking to perform verification analysis.

System (100) for verifying partial functions of advanced driver assistance systems (ADAS) and / or automated driving systems (ADS) at synchronization points (750, 755), wherein a synchronization point (750, 755) is a predefined point in time or phase in the development process of an ADAS / ADS system at which all necessary changes to the system architecture, software or hardware are integrated, and wherein specific test cases (350) are executed at this synchronization point (750, 755) to ensure that all relevant functional groups (450) function properly, comprising an input module (200) for inputting available functional groups (450) and synchronization points (750), in particular with specifications relating to the system architecture or software updates;a test case generation module (300) configured to generate a set of test cases (350) for testing and verifying an ADAS / ADS system; a function grouping module (400) configured to divide the set of test cases (350) into function groups (450), each function group (450) representing a sub-function of the ADAS / ADS system; a prioritization module (500) configured to assign priority classes (550) to the function groups (450) based on the probability of errors occurring and the effort required to correct them; a synchronization module (700) configured to assign the corresponding function groups (450) and the test cases (350) associated with the function groups (450) to the synchronization points (750, 755);a test management module (800) configured to consider the maximum number of test cases (350) per synchronization point (750) and, if this number (350) is exceeded, to move test cases (350) with a low priority class (550) to subsequent synchronization points (755); and an output module (900) configured to output the selected test cases (950) for a synchronization point (750) to increase the efficiency of verification tests and reduce resource requirements.

A method includes receiving a desired state from a path planner, the desired state including at least a first desired yaw rate and a first desired lateral velocity of the vehicle. The method further includes determining a second desired yaw rate and a second desired lateral velocity of the vehicle by a path tracing controller, at least in part based on the first desired yaw rate and the first desired lateral velocity. The method further includes determining an active rear steering command and a torque vector control command by a vehicle motion controller, at least in part based on the second desired yaw rate and the second desired lateral velocity. The method further includes controlling the vehicle using at least one of the active rear steering command and the torque vector control command to cause the vehicle to follow a path generated by the path planner.

The invention concerns a method for controlling a vehicle which can determine if the vehicle is located on a railway crossing and depending on the vehicle's speed or driving direction generate actions. The method comprises the steps to determine if the vehicle is located on a railway crossing; determine if the vehicle speed is below a threshold or if the vehicle is reversing; based on the combined outcome of the determinations, generate a vehicle control signal and / or generate a user information output. The invention further concerns a vehicle control system and an advanced driver assistance system.

Systems, methods, and apparatuses are provided for evaluating the calibration requirements or calibration needs of one or more sensors of a vehicle. A subject matter expert and / or a machine learning model can be used to generate correlations between data scanned from a vehicle and from repair orders or repair estimates. Natural language processing can be used to evaluate information contained in a repair order to generate a CIECA or line code. The machine learning model can use rules when a diagnostic trouble code (DTC) provides a high probability indication that a particular component requires repair. In some examples, a machine learning model can cluster or otherwise identify a likely area of repair based on information embedded or contained in a repair estimate.

Various implementation schemes include methods and vehicles that can manage driving strategies within an advanced driver assistance system (ADAS) for a vehicle. These methods and vehicles include: acquiring vehicle sensor data; determining the current vehicle context based on the vehicle sensor data; selecting a modified vehicle driving strategy from a plurality of stored modified vehicle driving strategies based on the determined current vehicle context; and controlling vehicle behavior via ADAS based on the selected modified vehicle driving strategy. The method may further include: receiving user voice input from a vehicle microphone; inferring the correlation between the user voice input and the vehicle driving strategy or actions of the ADAS using generative AI; adjusting the vehicle driving strategy of the ADAS based on the inferred correlation of the user voice input; and commanding vehicle behavior based on the adjusted vehicle driving strategy.

Examples described herein provide a method that includes receiving an image from a camera of a vehicle. The method further includes determining, using the image, a relative position and pose of the vehicle relative to a lane marking of a lane of a road occupied by the vehicle and in which the vehicle is traveling. The method further includes determining a relative center of gravity location of the vehicle based at least in part on the relative position and pose of the vehicle. The method further includes controlling the vehicle using an advanced driver assistance system based on a model of the vehicle, wherein the model utilizes the relative center of gravity location of the vehicle.

Examples described herein provide a method including receiving an image from a camera of a vehicle. The method also includes determining, using the image, a relative position and pose of the vehicle with respect to lane markings of a lane of a roadway occupied by the vehicle and in which the vehicle is traveling. The method also includes determining a relative center of gravity position of the vehicle based at least in part on the relative position and pose of the vehicle. The method also includes controlling the vehicle using an advanced driver assistance system based on a model of the vehicle, where the model utilizes the relative center of gravity position of the vehicle.

Radio frequency systems for advanced driver assistance systems (ADAS) can include a mix of high frequency (e.g., above 1 GHz) analog components and low frequency digital devices mounted on one main circuit board. Cost savings can be realized by providing high frequency signal paths on an insert circuit board that is mounted to the main circuit board and couples devices that require high frequency signaling (e.g., distributing local oscillator signals to several devices that form part of a cascaded radar system). The insert is made of a specialized material suitable for routing high frequency signals with low loss, while the main circuit board can be made of a commodity material suitable for lower frequency applications.

The invention relates to visual and wireless joint three-dimensional mapping and advanced driver assistance systems for autonomous vehicles. A system for mapping an outdoor environment includes at least one map comprising an access point (AP) location map and a reflector map generated from a plurality of wireless signals collected by a plurality of automotive vehicles. As at least one of the plurality of automotive vehicles traverses a mapped area, a crowd-sourced dataset is collected from individual vehicles of the plurality of automotive vehicles and sourced from a plurality of perception sensors. A data packet is created from the crowd-sourced dataset, the data packet comprising a set of wireless positioning samples and a set of visual features, the data packet being communicated to a cloud-based database where cloud-based mapping is performed. A plurality of distance measurements yields a circular AP candidate location within a free space operating window of a vehicle operation of the plurality of automotive vehicles. Application of a plurality of reflectors defined at a plurality of planar reflective surfaces adds to the AP candidate location.