A vehicle includes a set of sound sensors coupled to one or more processing systems that process sound data from the set of sound sensors in order to provide assisted driving features or functionality such as an emergency vehicle avoidance.

Methods for vehicle operation using behavioral rule checks include receiving first sensor data from first sensors and second sensor data from second sensors of the vehicle. The first sensor data represents operation of the vehicle in accordance with a first trajectory. The second sensor data represents at least one object. It is determined that the first trajectory violates a first behavioral rule of operation based on the first sensor data and the second sensor data. The first behavioral rule has a first priority. Multiple alternative trajectories are generated using control barrier functions. A second trajectory is identified that violates a second behavioral rule having a second priority less than the first priority. Responsive to identifying the second trajectory, a message is transmitted to a control circuit of the vehicle to operate the vehicle based on the second trajectory.

A speed of a target vehicle can be detected. A difference in host vehicle speed and the speed of the target vehicle is determined. A target frequency is specified for a sound to be received at the target vehicle. A sending frequency is determined for the sound based on the target frequency and the difference in host vehicle speed and target vehicle speed. The sound is transmitted at the sending frequency.

A radar sensor system and a method for detecting an occupancy in an interior of a vehicle and with vital sign monitoring. The radar sensor system includes a radar transmitting unit, a radar receiving unit and a signal processing and control unit. The method includes: transmitting a radar wave towards a scene within the vehicle interior, receiving at least one radar wave that has been generated by reflection of the transmitted radar wave, decomposing the received radar wave into range, Doppler and angular information, quantifying and tracking a movement in each region of interest by angular gating and range gating, detecting and monitoring vital signs of occupants in each region of interest, and determining whether quantified and tracked movements in the scene are related to an occupant or to external or internal disturbances, based on a fulfillment of at least one predefined condition concerning the and/or the detected vital signs.

A method of processing data for a driving automation system, the method comprising steps of: obtaining sound data from a microphone of an autonomous vehicle; processing the sound data to obtain a sound characteristic; and updating a context of the autonomous vehicle based on the sound characteristic.

In a traffic emergency, there is no time for a human to integrate multiple sensor data streams and devise a plan for avoiding a collision. Only the electronic reflexes of a trained automatic system can provide evasive action in time. Disclosed is an artificial intelligence (AI) model trained to recognize an imminent collision based on sensor data, rapidly devise and test a large number of possible sequences of actions, some drawn from a library of previously-successful strategies and others invented by the AI model. If any sequence can avoid the collision, the AI model implements that sequence immediately. If none of the sequences can avoid the collision, the AI model calculates the harm caused by each sequence and picks the one that causes the least harm (fatalities, injuries, etc.) for implementation. AI is needed to find a possible solution in time to implement it and thereby mitigate the imminent collision.

In a traffic emergency, there is no time for a human to integrate multiple sensor data streams and devise a plan for avoiding a collision. Only the electronic reflexes of a trained automatic system can provide evasive action in time. Disclosed is an artificial intelligence (AI) model trained to recognize an imminent collision based on sensor data, rapidly devise and test a large number of possible sequences of actions, some drawn from a library of previously-successful strategies and others invented by the AI model. If any sequence can avoid the collision, the AI model implements that sequence immediately. If none of the sequences can avoid the collision, the AI model calculates the harm caused by each sequence and picks the one that causes the least harm (fatalities, injuries, etc.) for implementation. AI is needed to find a possible solution in time to implement it and thereby mitigate the imminent collision.

A method for detecting non-visible vehicles in a vehicle's environment includes screening, by a receiver of a proximity sensor, any incoming proximity signal capable of propagating through the air along a non-linear path. Receiving such an incoming proximity signal and processing the received proximity signal allows for detecting an object that is otherwise not visible to a driver or another type of sensor on a vehicle and warning the driver or an advanced driver-assistance system about the detected object.

A system and method to avoid collisions on highways, and to minimize the fatalities, injury, and damage when a collision is unavoidable. The system includes sensor means to detect other vehicles, and computing means to evaluate when a collision is imminent and to determine whether the collision is avoidable. If the collision is avoidable by a sequence of controlled accelerations and decelerations and steering, the system implements that sequence of actions automatically. If the collision is unavoidable, a different sequence is implemented to minimize the overall harm of the unavoidable collision. The system further includes indirect mitigation steps such as flashing the brake lights automatically. An optional post-collision strategy is implemented to prevent secondary collisions, particularly if the driver is incapacitated. Adjustment means enable the driver to set the type and timing of automatic interventions.

A method for detecting non-visible vehicles in a vehicle's environment, wherein each vehicle is equipped with at least one proximity sensor, the method comprising for a driven vehicle the steps of: screening, by a receiver of the proximity sensor, any incoming proximity signal capable of propagating through the air along a non-linear path; Receiving an incoming proximity signal coming from a non-visible vehicle (B); processing the received proximity signal to detect the non-visible vehicle; and warning a driver and/or an advanced driver-assistance system about the detected non-visible vehicle.