Arithmetic circuitry of a roll angle estimation device estimates a roll angle, a pitch angle a pitch angular velocity of the moving body and at least one offset error of angular velocity detectors and acceleration detectors. In a current estimation operation, the arithmetic circuitry estimates the roll angle, the pitch angle, and the pitch angular velocity and the at least one offset error, based on detection values of the angular velocity detectors, detection values of the acceleration detectors, a detection value by the velocity detector, estimated values of the roll angle, pitch angle, and pitch angular velocity from a previous estimation operation, and an estimated value of the at least offset error from the previous estimation operation.

Among other things, techniques are described for path-based trajectory prediction (e.g., for autonomous driving). The technique includes: obtaining information about one or more agents in a portion of an environment where a vehicle is operating, the information including data associated with locations of the one or more agents in the portion of the environment; for each of at least one agent of the one or more agents, determining a reference path for the agent based on a location of the agent in the environment, and predicting a future trajectory of the agent based on the reference path; and operating the vehicle based on one or more predicted future trajectories of the at least one agent of the one or more agents.

A method for recognizing the driving style of a driver of a land vehicle, of the type that envisages acquiring information on the dynamics of the vehicle from sensors and calculating, as a function of said information on the dynamics of the vehicle, a class of membership of the driving style of the driver. The method comprises the steps of analysing information on the dynamics of the vehicle to start a procedure of recognition of the event that comprises: reconstructing a manoeuvre performed by the driver; identifying the manoeuvre performed, by comparing said displacement time series with models of time series corresponding to pre-determined manoeuvres stored in a database; defining regions in a cartesian plane having as axes a lateral acceleration and a longitudinal acceleration, in particular manifolds; computing cost functionals for the three driving styles; and recognising the driving style, on the basis of said cost functionals.

A system for detection of a target sound in an environment of a vehicle, includes an audio sensor, a computer processor, and a memory storing a digital target sound template produced by converting a sample of the target sound in accordance with conversion parameters. The computer processor receives a sound signal from the audio sensor, digitizes the sound signal in accordance with the conversion parameters, and determines a degree of similarity between the digitized signal and the digital target sound template. The sound signal may be logarithmically amplified before being digitized. The sound signal may be received from two audio sensors, and the direction of the target sound may be determined based on a difference between time indices for detection of the target sound for each audio sensor.

An information processing method is provided to reduce an amount of data to be monitored in an onboard system of a vehicle. In the method, detection results that indicate whether an abnormality is included in communication data on an onboard network are obtained, and a first log transmission instruction is generated to cause periodic transmission of a first log from the onboard system to a server device. The first log is a log of the communication data. A second log transmission instruction is generated to cause transmission of a second log from the onboard system to the server device in a case of the detection results indicating the abnormality is included in the communication data. The second log is a log of the communication data and includes an amount of data generated per unit time that is greater than the first log.

The present disclosure relates to a driver assistance system having a controller and a method of controlling the driver assistance system. The driver assistance system may include: at least one sensor; a driving device configured to be controlled on the basis of a sensing result by the sensor; and a controller configured to control the driving device by providing a control signal generated on the basis of information from the sensor, and to determine a point to read information from the sensor in response to an event signal based on a predetermined condition provided from the sensor. Accordingly, it is possible to quickly obtain information with small load, thereby effectively controlling the system.

A system for detection of a target sound in an environment of a vehicle, includes an audio sensor, a computer processor, and a memory storing digital target sound templates produced by converting samples of the target sound in accordance with conversion parameters. The computer processor receives the sample sound signal from the audio sensor, converts the sample sound signal to a digital sample vector in accordance with the conversion parameters, compares the vector to each of the templates to determine if a degree of similarity of the vector to any one of the templates exceeds a predetermined threshold value, and notifies a user or a vehicle control system if the threshold value is exceeded.

Multiple trajectories for a vehicle are generated based on a road segment. Sensor data is received from at least one sensor. The vehicle is traveling the road segment in accordance with a first trajectory of the multiple trajectories. A potential collision is predicted between the vehicle and an object based on the sensor data and the first trajectory. A set of constraints is determined to avoid the potential collision. The set of constraints is determined based on the sensor data. A maneuver is determined for the vehicle by superimposing each constraint of the set of constraints on each other constraint of the set of constraints. The maneuver includes a second trajectory independent of the multiple trajectories. Instructions are transmitted to a control circuit of the vehicle to override the first trajectory and traverse the road segment according to the second trajectory to perform the maneuver.

Disclosed herein is an apparatus for driving assistance. The apparatus includes at least one memory configured to store a program for identifying a guardrail, and at least one processor configured to execute the stored program and identify the guardrail based on detection data indicating information about an surrounding environment of a vehicle and behavior data indicating information about behavior of the vehicle, and the at least one processor identifies the guardrail by applying a Gaussian noise model to the detection data.

A system for detection of a target sound in an environment of a vehicle, includes an audio sensor, a computer processor, and a memory storing digital target sound templates produced by converting samples of the target sound in accordance with conversion parameters. The computer processor receives the sample sound signal from the audio sensor, converts the sample sound signal to a digital sample vector in accordance with the conversion parameters, compares the vector to each of the templates to determine if a degree of similarity of the vector to any one of the templates exceeds a predetermined threshold value, and notifies a user or a vehicle control system if the threshold value is exceeded.