A method for training of machine learning processes, the method includes (a) obtaining, at a first computerized process, an identified signature, the identified signature identified at a second computerized process based on an overlap between a first top matching of signatures that are untagged and…
The present disclosure relates to a method performed by a perception comparing system (1) of a vehicle (2) for perception performance evaluation of an ADAS or ADS (21) of the vehicle. The perception comparing system establishes (1001) communication with a secondary vehicle (3) determined and/or…
An apparatus () for calibrating an ADAS sensor of a vehicle () includes: a base unit () including a plurality of wheels (); a support structure () integral with the base unit (); a vehicle calibration assistance structure (), mounted on the support structure () and including a calibration device ()…
A method includes receiving detection data and Inertial Measurement Unit (IMU) data from a vehicle as the vehicle traverses a testing lane, wherein the detection data corresponds to lidar detections, camera detections, and radar detections, by one or more sensors of the vehicle, and the IMU data…
System and techniques for vehicle-based measurement of signal object integrity are described herein. Sensor data of an environment of the vehicle is obtained. A bound for the sensor data for the sensor data is also obtained. Here, the bound corresponds to a signal object (e.g., sign, light, road…
An autonomous driving system includes an external sensor (10), an internal sensor (11), a machine learning model (120) configured to receive a detection result of the external sensor (10) and the internal sensor (11) as input values and output an instruction value of autonomous driving, an…
A method for calculating coordination control weights in a distributed drive electric vehicle includes: vehicle motion state data is classified into three categories—stable state, transition state, and unstable state; weight factors are determined based on Euclidean distances between cluster…
A computer system for selecting a vehicle controller for use in control of a vehicle, the computer system comprising processing circuitry configured to acquire a plurality of input values for each of one or more input variables for simulating performance of the vehicle, wherein the plurality of…
A method for determining a drivable area applied to intelligent driving is provided. A current drivable area is determined based on environment information around a location of a vehicle, a historical drivable area library is queried based on the location of the vehicle, to obtain information (601)…
A control system installed in a vehicle (1) comprises one or more processors (110). The one or more processors (110) are configured to execute one or more control functions in response to a driving environment of the vehicle (1) or a request. The one or more processors (110) determines whether or…
The disclosure relates collecting feedback from passengers of autonomous vehicles. For instance, that a triggering circumstance for triggering a feedback request has been met may be determined. The triggering circumstance may include a driving event, a presence of other road users, or a trip state…
The present disclosure relates to a method performed by a field monitor system (1) of a vehicle (2) for performance monitoring and evaluation of an ADAS or autonomous driving feature (3) of the vehicle. The field monitor system stores (1101), during a time period (T) ranging from a first time point…
A vehicle evaluation system includes processing circuitry and a memory device. The memory device stores data of a pretrained model. The pretrained model is a model trained by supervised learning to generate operation data from training sound data. The operation data is data indicating changes in…
Vehicle decision-making is analyzed and can be used to modify a decision-making process. For subsets of features comprising a vehicle operational scenario, a first value is generated that quantifies behavior of an artificial intelligence (AI) agent as the AI agent performs a sequence of actions…
Verfahren (100) zum Betreiben eines künstlichen neuronalen Netzwerks, KNN (1), welches Eingaben (11) in einer Abfolge von Schichten (12a-12c, 13a-13b) zu Ausgaben (14) verarbeitet, mit den Schritten:• innerhalb des KNN (1) wird mindestens ein iterativer Block (15) aus einer oder mehreren Schichten…
The present invention obtains a rider-assistance system capable of appropriately assisting with driving by a rider of a straddle-type vehicle and a control method for such a rider-assistance system.The rider-assistance system that assists with driving by the rider of the straddle-type vehicle…
An orientation system comprises an orientation sensor, a distance sensor, and vehicle processing unit. The orientation sensor is configured to generate orientation data. The distance sensor is configured to generate relative distance data measuring relative distances to objects external to the…
An information processing method is to be executed by a computer. The information processing method includes: receiving, from an autonomous moving body, a first processing result that is a result of first preprocessing of travel control processing in autonomous movement processing of the autonomous…
The present disclosure relates to a method, system, a vehicle and a computer-readable storage medium for determining a state of a vehicle on a road portion having two or more lanes. The vehicle comprises an Automated Driving System (ADS) feature. The method comprises obtaining map data associated…
A method for determining a value of at least one controller variable for guiding a mobile platform in at least semiautomated fashion using the steps below is proposed. Images of surroundings of the mobile platform are determined by means of a plurality of two-dimensionally representing sensor…
A method includes receiving an indication regarding a deceleration event for a vehicle, remapping a response of a prime mover of the vehicle from following a first response curve to following a deceleration response curve in response to (i) the deceleration event and (ii) a speed of the vehicle…
An example operation includes one or more of enabling a software portion of a vehicle, based on an operation of the vehicle and enabling another software portion of the vehicle, based on a further operation of the vehicle. The software portion and the other software portion alter the operation of…
An autonomous driving device (21) includes a plurality of driving function ECUs (211; 212) having a function of driving a vehicle (20) in place of an occupant, and a driving function switch ECU (214) configured to individually change operating states of the driving function ECUs (211; 212)…
Provided herein is a system and method for determining whether a sensor is calibrated and recalibrating of an uncalibrated sensor. The system comprises a sensor system comprising a sensor and an analysis engine configured to determine whether the sensor is uncalibrated. The system further comprises…
The present disclosure relates to a driving characteristic inference apparatus and method of a vehicle. According to an exemplary embodiment of the present disclosure, a driving characteristic inference method includes observing a target driving vehicle which is an observation target to generate…
A method for controlling an automated driving operation includes setting up respective independent models for executing planning and learning in the automated driving operation, including a vehicle planning model and a cognitive learning model. A semantic layer is generated to act as a bridge…
Methods (900) and devices for operating a Self-Driving Car (SDC) (220) are disclosed. The method (900) includes generating a first graph-structure (450) having nodes and edges, ranking the edges based on a priority logic into a ranked list of edges, and generating a second graph-structure (i) by…
Vehicle control is provided, : obtaining vehicle information of a target vehicle and environmental information of a reference environment in which the target vehicle is located; obtaining a target matrix based on the vehicle information and the environmental information; splitting the target matrix…
According to an embodiment of the present invention, there is provided a wheel speed sensor (WSS) signal-processing device according to ECU switching, the device comprising an ECU including a first ECU and a second ECU performing a control operation based on a detection signal received from the…
A driving assistance device executes processing relating to a behavior model of a vehicle. Detected information from the vehicle is input to a detected information inputter. An acquirer derives at least one of a travel difficulty level of a vehicle, a wakefulness level of a driver, and a driving…