A computer includes a processor and a memory storing instructions executable by the processor to receive a first time series of positions of a vehicle sensor mounted on a vehicle from at least one calibration sensor spaced from the vehicle, measured while vibrations are applied to the vehicle; receive a second time series of motion of the vehicle sensor based on data from the vehicle sensor measured while the vibrations are applied to the vehicle; fuse the first and second time series; and determine at least one calibration value for an adjustment model based on the fusion of the first and second time series. The adjustment model is a model of motion of the vehicle sensor relative to the vehicle resulting from motion of the vehicle.

A system and corresponding method for autonomous driving of a vehicle are provided. The system comprises at least one neural network (NN) that generates at least one output for controlling the autonomous driving. The system further comprises a main data path that routes bulk sensor data to the at least one NN and a low-latency data path with reduced latency relative to the main data path. The low-latency data path routes limited sensor data to the at least one NN which, in turn, employs the limited sensor data to improve performance of the at least one NN's processing of the bulk sensor data for generating the at least one output. Improving performance of the at least one NN's processing of the bulk sensor data enables the system to, for example, identify a safety hazard sooner, enabling the autonomous driving to divert the vehicle and avoid contact with the safety hazard.

The subject matter of this specification relates to a light detection and ranging (LiDAR) device that comprises, in some implementations, a pulsed-laser source configured to generate a pulsed optical signal, a continuous wave (CW) laser source configured to generate a CW optical signal, one or more optical amplifier circuits configured to amplify at least the pulsed optical signal, a combiner configured to combine the pulsed optical signal and the CW optical signal into a hybrid transmission signal, and at least one photodetector configured to receive a reflection signal produced by reflection of the hybrid transmission signal by a target.

Systems, methods, and non-transitory computer-readable media can detect an occurrence of a condition in an environment based on sensor data captured by a vehicle. A determination is made whether the occurrence of the condition satisfies a threshold associated with a likelihood that a behavior associated with an object in the environment will occur based on an interaction between the condition and the object, wherein the likelihood is based on prior observations of one or more objects. Subsequent to determining that the threshold is satisfied, a vehicle operation that is associated with the likelihood that the behavior associated with the object will occur is performed.

In embodiments, sensors from an environment in which a mobile device is moving may be used to provide extra input to allow for improved risk analysis and detection in the environment. To prevent unwanted surveillance, proximity to the environment's sensors may be required. It will be appreciated a coordinator in the environment may assist with handling multiple sensor data provided to the mobile device, and may also assist with identifying risk. The environment may also act as a data feed allowing the mobile device to simply receive additional sensor data and perform its analysis and operation.

Embodiments of the present disclosure relate to vehicle technologies, and disclose a method and system for controlling a vehicle, and a fingerprint chip. The method comprises: collecting a fingerprint image of a user; authenticating the user according to the fingerprint image and acquiring identity information of the user after the authentication succeeds; acquiring a vehicle personalization parameter of the user according to the identity information of the user and setting up the vehicle according to the vehicle personalization parameter. The embodiments further provide a vehicle control system and a fingerprint chip. The technical solutions provided by the embodiments of the present disclosure can allow simple and quick personalized settings of a vehicle based on identity recognition, which can facilitate sharing a vehicle among family members in most cases.

A method for planning traveling paths for multiple automatic harvesters, includes performing detection and forming basic agricultural land information by a detection device and receiving the basic agricultural land information at a path planning module. The path planning module sets quantity setting information and divides harvesting areas of the multiple automatic harvesters and travel paths thereof.

An intelligent harvester with instantaneous stop functions includes a harvester body, a detecting system for detecting a human body within an area range on a traveling route of the harvester body, and a brake system arranged on the harvester body and operatively connected to the detecting system. When the detecting system detects a human body present within the area range on a traveling path of the harvester body, the brake system controls the harvester body to brake.

A vehicle security method includes: acquiring an input signal from a sensor unit equipped in a vehicle; setting a detection mode to a heart rate detection mode, in response to a security release operation being started, setting a radar sensor of the sensor unit to detect a target, and detecting heart rate information on the target; determining whether the heart rate information matches pre-stored heart rate information; setting the detection mode to a general detection mode, in response to the heart rate information matching the pre-stored heart rate information, measuring a distance, an azimuth, and/or an elevation angle between the vehicle and the target, and detecting body shape information of the target; determining whether the body shape information matches pre-stored body shape information; and releasing a security of a security device, in response to the body shape information matching the pre-stored body shape information.

Provided are a method and apparatus for controlling a vehicle by recognizing an object near the vehicle. The method may include: obtaining first sensing data regarding the object near the vehicle, from a first sensor; obtaining second sensing data regarding the object, from a second sensor; obtaining a first object recognition possibility of a driver regarding the object and a second object recognition possibility regarding the object, based on the first sensing data, the second sensing data, and characteristics of the first sensor and the second sensor; obtaining a degree of risk of the object, based on the first object recognition possibility and the second object recognition possibility; and performing a certain function of the vehicle, based on the degree of risk of the object.