An optical system includes a first lens disposed closest to an enlargement conjugate position, a second lens adjacent to the first lens, a diaphragm disposed closer to a reduction conjugate position than the second lens, and a final lens disposed closest to a reduction conjugate position. Each of the first lens, the second lens, and the final lens has an aspherical surface. The aspherical surface of each of the first and second lenses has an inflection point. An imaging magnification is different between a first area of the optical system and a second area on a periphery side of the first area.

The invention relates to an electronic device (1) for predicting the visual perceptual task performance of an individual human. The electronic device is configured to: •receive an output of a first sensor device configured to measure the working memory load at the frontal cortex of the human, and •predict the visual perceptual task performance as a function of said sensor output. The invention further relates to a system and a method.

A bale retriever for retrieving bales which includes a bale pick up configured to contact and pick up a bale, a steering assembly configured to steer the bale retriever, at least one sensor configured to sense at least one bale feature of the bale, and a controller operatively coupled to the steering assembly and the at least one sensor. The controller is configured to receive bale drop location information, receive at least one bale feature signal from the at least one sensor, identify an exact bale location of the bale based at least partially on the bale drop location information and the at least one bale feature signal from the at least one sensor, generate a steering control signal based at least partially on the exact bale location, and output the steering control signal to the steering assembly.

Various disclosed embodiments include active impact control systems, vehicles with active impact systems, and active impact systems. In an illustrative embodiment, an active impact control system includes: at least one actuator couplable to a crush structure of a vehicle and couplable to a portion of structure of a vehicle; at least one sensor configured to sense impact with an object; and a controller configured to receive information from the at least one sensor and to determine a location and angle of impact based on the information received from the sensor, the controller being further configured to selectively signal the actuator to cause the crush structure to move relative to the vehicle structure.

A monitoring system may include a memory having computer-readable instructions stored thereon and a processor operatively coupled to the memory. The processor may read and execute the computer-readable instructions to perform or control performance of operations. The operations may include receive, prior to a collision involving a vehicle, sensor data representative of a feature of an internal environment and determine the collision has occurred. The operations may include automatically instruct, based on the collision, a sensor to generate another sensor data representative of another feature of the internal environment. The operations may include receive the another sensor data from the sensor and compare the sensor data and the another sensor data to accident data corresponding to previous accidents. The accident data may include a diagnosed injury and an accident severity of each of the previous accidents. The operations may include determine a severity of the collision based on the comparison.

The invention relates to a system that interacts with an occupant of a motor vehicle, comprising: —a measuring device comprising at least one sensor arranged to capture at least one parameter relating to the occupant of said vehicle, —an on-board processing unit using an evaluation model for the emotional state of the occupant, said processing unit being arranged to receive said parameter and to define a data item representative of the emotional state of said occupant using the model, —the representative data corresponding to a point in a three-dimensional space for characterising the emotional state of the occupant, and —at least one actuator configured to activate at least one multi-sensory stimulus for interaction with the occupant, said stimulus allowing the emotional state of said occupant to be altered.

A method for conducting a motor vehicle in an at least partially automated manner includes generating and outputting a plurality of approach signals for controlling a transverse and/or a longitudinal conduction of the motor vehicle in order to conduct the motor vehicle in at least a partially automated manner in such a way that the motor vehicle approaches a traffic junction. The method includes receiving a plurality of environmental signals which represent an environment of the motor vehicle while it approaches the traffic junction. The method determines, based on the environmental signals that the motor vehicle may continue to further approach the traffic junction, must stop, and/or must retreat. The method generates and outputs control signals for controlling the transverse and/or longitudinal conduction of the motor vehicle in order to conduct the motor vehicle in at least a partially automated manner according to the determining process.

An electronic device is disclosed. The electronic device comprises: a communication interface; a memory in which a learning network model for predicting next data by learning temporally continuous data is stored; and a processor for acquiring prediction data that is to replace data received from the learning network model, when the occurrence of an error in data received from a sensor device through the communication interface is identified, performing an autonomous driving function on the basis of the acquired prediction data, counting the number of error occurrences, and providing information informing that a sensing state of the sensor device is abnormal, when the counting frequency is greater than or equal to a threshold value.

A control system of a vehicle includes: a target speed module configured to, using a parametric driver model and based on first driver parameters, second driver parameters, and vehicle parameters, determine a target vehicle speed trajectory for a future predetermined period; a driver parameters module configured to determine the first driver parameters based on conditions within a predetermined distance in front of the vehicle; and a control module configured to adjust at least one actuator of the vehicle based on the target vehicle speed trajectory and a present vehicle speed.

A vehicle control method for controlling a vehicle includes: (A) detecting a rainfall condition or a non-rainfall condition using a first sensor mounted on the vehicle; (B) determining whether the vehicle is passing under an upper structure covering the vehicle using a second sensor mounted on the vehicle; (C) determining that the rainfall condition is continuing even when a transition from the rainfall condition to the non-rainfall condition is detected in a case where the vehicle passes under the upper structure; and (D) controlling the vehicle based on whether a weather condition is the rainfall condition or the non-rainfall condition.