Regardless of the irradiation method of the distance measuring sensor, degradation of recognition performance due to a change in the installation position of the distance measuring sensor is suppressed. An outside environment recognition device (12) that recognizes an outside environment around a vehicle according to an observation result of a LiDAR sensor (11) installed in the vehicle is configured to include a storage unit (21) that stores posture information of an installation posture of the LiDAR sensor in a three-dimensional predetermined coordinate system, a coordinate signal conversion unit (23) that converts a plurality of observation points obtained from the LiDAR sensor into a plurality of three-dimensional coordinate signals on the basis of the posture information in the predetermined coordinate system, a road surface candidate point extraction unit (24) that extracts a plurality of road surface candidate points indicating a road surface from the plurality of three-dimensional coordinate signals based on a height component of each of the three-dimensional coordinate signals, a road surface plane estimation unit (25) that estimates a road surface plane based on the plurality of road surface candidate points, and a calibration amount calculation unit (26) that calculates a calibration amount of the posture information based on a reference plane set based on the predetermined coordinate system and the road surface plane.

An information reporting method and apparatus for of automatic or intelligent driving, the method including receiving, by a detection apparatus, a first signal, determining, by the detection apparatus, based on the first signal, an interfered range in a detection range of the detection apparatus, and sending, by the detection apparatus, interference information to a fusion apparatus, where the interference information comprises indication information of the interfered range.

A simulation for sensor data may be evaluated and used for future simulations for an autonomous vehicle software. The method includes receiving log data collected for an environment along a given run for a given vehicle, using a software for autonomous driving to perform a simulated run of the given run using logged sensor data from the log data and environment data constructed using the log data, and determining first details regarding detection of objects during the given run using logged sensor data. The method also includes using the software to run a simulation of one or more detection devices on a simulated vehicle driving along the given run to obtain simulated sensor data, and determining second details regarding detection of objects using the simulated sensor data. Metrics may then be extracted from the first details and the second details, and the simulation may be evaluated based on the metrics.

A road gradient determining method includes obtaining a three-dimensional road image formed by a two-dimensional road image of a road and laser point cloud data of the road and selecting a plurality of nodes from the three-dimensional road image as control points. The method further includes generating, according to the control points, a first spline curve indicating a road elevation and converting the first spline curve into a second spline curve indicating a road gradient. Finally, the method includes obtaining location information and determining a first road gradient according to the location information and the second spline curve. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

An autonomous vehicle includes: a plurality of side laser radars respectively provided on a plurality of side portions of the autonomous vehicle, each of the plurality of side laser radars being partially embedded in a corresponding side portion of the plurality of side portions; and a top laser radar provided on a top portion of the autonomous vehicle and configured to obtain environmental information around the autonomous vehicle together with the plurality of side laser radars. By providing the plurality of laser radars, a sensing blind spot of the autonomous vehicle may be avoided.

A method autonomously controls a mobility of an automotive apparatus, which mobility is such as to have an influence on the path of the apparatus. The method includes steps of: acquiring parameters relative to the path of the apparatus, and of computing a new control setpoint for the mobility of the apparatus depending on said parameters, this new control setpoint being determined by means of a controller that respects a model that limits the variation in the control setpoint.

A system is suitable for connecting multiple implements to a three-point hitch of mobile machinery for controllable side-shifting movement of the connected implements. The system comprises first, second and third apparatuses, each apparatus comprising a first framework, a slidable second framework laterally slideable relative to the first framework, at least one connector supported by the slidable second framework for connecting the slidable second framework to one of the implements, and at least one driver connected to the first framework and the slidable second framework for driving the slidable second framework laterally back and forth relative to the first framework. The second apparatus is attached to one side of the first apparatus and the third apparatus is attached to the other side of the first apparatus.

A device and a method for warning a driver of a vehicle. The vehicle includes one or multiple surroundings sensor(s) that detect objects in the vehicle surroundings, and an evaluation device is provided in which a surroundings model is created from the object detections by the one or multiple surroundings sensor(s). Also provided is an actuator system that informs the driver of recognized objects of the surroundings model, in that the actuator system for informing the driver contains a piece of spatial warning information, and the driver is haptically informed of the position of the object.

Provided is an intelligent safe vehicle speed measurement method and an system capable of considering a state of a road surface, including: a laser scanning unit configured to obtain road surface textures and simulate contact under different vehicle loads and tire patterns; a wireless communication unit configured to obtain the model, load and tire information of incoming vehicles, offer a best-matching braking distance by search through database; a skid resistance prediction unit configured to obtain environmental parameters to correct the obtained best-matching braking distance, and offer a safe speed for incoming vehicles; and a warning reminder unit configured to broadcast the safe running speed to incoming vehicles. This system communicates between the vehicle and road, obtains the information from incoming vehicles in real time, and broadcasts the safe speed to incoming vehicles, ensuring the safety of the incoming vehicle during running.

The present invention relates to the technical field of automobile maintenance and discloses a calibration device for a lane keeping assist (LKA) system. The calibration device includes a support apparatus, a laser and a pattern board. The support apparatus includes a horizontal graduated scale. The laser is configured to be mounted on the body of an automobile and to emit a laser beam to the horizontal graduated scale. The pattern board is mounted on the support apparatus and is configured to attach an alignment pattern. By means of the calibration device, two lasers are mounted on wheels on two sides of the automobile. Two laser beams that are emitted from equal distances with the wheels being reference points are irradiated to the horizontal graduated scale. Based on marks on the horizontal graduated scale, the support apparatus may be moved to an appropriate position to calibrate the centerline of the automobile.