Methods and systems for autonomously steering a moving vehicle are disclosed. A processor determines a longitudinal velocity, a longitudinal acceleration, a lateral acceleration, and a yaw rate of the vehicle. The processor estimates, based on the longitudinal velocity, lateral acceleration, and yaw rate of the vehicle, a change in lateral velocity over time. The processor estimates, based on the change in the lateral velocity over time, the yaw rate, a distance between the front axle of the vehicle and a center of gravity of the vehicle, and a distance between the rear axle of the vehicle and the center of gravity of the vehicle, a lateral front velocity of the vehicle and a lateral rear velocity of the vehicle. Using calculations, a state estimation model for the vehicle is updated by the processor using a lateral acceleration bias. The updated state estimation model is used to autonomously steer the vehicle.

A system and method for calibrating and controlling an active dampening system for a chassis of a vehicle having an engine involve operating the engine in a cylinder deactivation mode and, during the cylinder deactivation mode, (i) receiving, from a set of sensors, measured vibrations on first and second frame rails of the chassis, (ii) generating control signals for a set of actuators based on the measured vibration of the first and second frame rails, each actuator being configured to generate a vibrational force in at least one direction, and (iii) outputting, to the set of actuators, the control signals, wherein receipt of the control signals cause the set of actuators to generate vibrational forces that dampen the vibration of the first and second frame rails, respectively, to decrease noise/vibration/harshness (NVH).

Disclosed are an autonomous driving apparatus and method for an ego vehicle that autonomously travels. The autonomous driving apparatus includes a first sensor to detect a nearby vehicle nearby an ego vehicle, a memory to store map information, and a processor including a driving trajectory generator to generate a first driving trajectory of the ego vehicle and a second driving trajectory of the nearby vehicle based on the map information stored in the memory and a control processor configured to control autonomous driving of the ego vehicle based on the first and second driving trajectories generated by the driving trajectory generator.

A computer system for manipulating, combining, or composing dynamic sounds accesses a package of one or more music stems. The computer system then receive an input variable from one or more vehicle sensors. The one or more vehicle sensors measure an aspect of driving parameters of a vehicle. In response to the input variable, the computer system generate a particular audio effect with the one or more music stems.

Control commands in a system and method for autonomously driving a vehicle or partially autonomously driving a vehicle are generated on the basis of an environment representation, which is generated from sensor signal of a sensing means. The environment representation where ambiguous objects are identified is such that information obtained from the driver of the vehicle are added. The system generates an information request. Additional information is extracted and accumulated in the environment representation map. Traffic is then determined and suitable control signals for the vehicles are generated. In case no ambiguous objects are included in the environment representation but the system is not capable of deciding on traffic, the driver is asked to disambiguate the situation or to instruct on dealing with the traffic.

A method comprises determining the distance between a first transceiver unit and a second transceiver unit, wherein the first transceiver unit is mounted on a vehicle and the second transceiver unit is mounted on a trailer connected to the vehicle. The method also includes determining at least one parameter relating to the trailer, taking into account the distance between the first transceiver unit and the second transceiver unit.

Systems and methods for avoiding an object by a vehicle. A radio frequency identification (RFID) tag is disposed on the object and transmits a tag signal associated with the RFID tag. The vehicle includes an object detection system and an object response controller. The object detection system detects the transmitted tag signal, determines at least one tag characteristic from the detected tag signal and tracks the object based on the at least one tag characteristic to generate object tracking data. The object response controller determines at least one collision condition between the vehicle and the object based on the object tracking data, and initiates at least one vehicle control action responsive to the at least one collision condition. The at least one vehicle control action including automatically controlling operation of the vehicle by the object response controller to avoid a collision between the vehicle and the object.

The disclosure relates to a method and an associated device for detecting uneven surfaces in vehicle environments. The method comprises emitting a first ultrasonic pulse or first ultrasonic burst and emitting a second ultrasonic pulse or second ultrasonic burst, and receiving a first reflection signal of the first ultrasonic pulse or a first reflection signal of the first ultrasonic burst and receiving a second reflection signal of the second ultrasonic pulse or a second reflection signal of the second ultrasonic burst. In the further course of the method, a comparison is made of the first reflection signal with the second reflection signal, and the presence of a surface unevenness in the vehicle's environment, or the presence of a surface curvature in the vehicle's environment, is determined.

A passive infra-red pedestrian and animal detection and avoidance system and method for augmenting the operation of a vehicle on a roadway, especially for identifying potential pedestrian/vehicular and/or animal/vehicular collision danger for the vehicle in operation and adjusting the position and operation of the vehicle accordingly, includes at least one passive infra-red sensor array mounted on the vehicle in operative communication with an image processor tied into the operational system of the vehicle. The system detects, using thermal imaging and processing, the presence of people or animals that may be in or laterally crossing into the travel lane of the vehicle. The image processor analyzes the detection of a human thermal signature and/or an animal thermal signature, and determines if the detected thermal signature is moving, in what direction and at what speed, to assess any potential threat to the pedestrian, biker or occupant of the vehicle, and further whether any responsive action needs to be triggered in the vehicle's operation to avoid a collision.

Out of two areas divided by a virtual line passing through the center of gravity position in the front-back direction of a vehicle, a second acceleration sensor is arranged in an area different from the area where a first acceleration sensor is arranged. Out of two areas divided by a virtual line passing through the center of gravity position in the vehicle width direction, the third acceleration sensor is arranged in an area different from the area where the first acceleration sensor is arranged. At least one of the following conditions is satisfied: the first condition where the third acceleration sensor is located between the first acceleration sensor and the second acceleration sensor in the vehicle width direction; and the second condition where the second acceleration sensor is located between the first acceleration sensor and the third acceleration sensor in the front-back direction of the vehicle.