The present invention addresses the problem of attaining an object recognition device that can change control of a vehicle in accordance with the reliability of detection of a target object. The object recognition device according to the present invention recognizes a target object around a vehicle and includes: a distance-information-based target object determination unit 106 that determines whether or not an object 303 is a target object by using distance information from the vehicle 301 to the object 303; an image-information-based target object determination unit 107 that determines whether or not the object 303 is a target object by using image information obtained by capturing an image of the object 303 from the vehicle 301; and a target object detection reliability calculation unit 108 that calculates the reliability of detection of a target object by using the distance information and the image information.

A method for improving the safety and comfort of a vehicle driving over a railroad track, cattle guard, or the like. The method may include receiving, by a computer system, one or more inputs corresponding to one or more forward looking sensors. The computer system may also receive data characterizing a motion of the vehicle. The computer system may estimate, based on the one or more inputs and the data, a motion of a vehicle with respect to a railroad track, cattle guard, or the like extending across a road ahead of the vehicle. Accordingly, the computer system may change a suspension setting, steering setting, or the like of the vehicle to more safely or comfortably drive over the railroad track, cattle guard, or the like.

The present disclosure provides a method, an apparatus, a device and a readable storage medium for preventing a vehicle collision. The method includes determining a current conservative anti-collision region of a vehicle acquiring the omnidirectional environmental information in the current region in the current conservative anti-collision region; predicting a behavior of an obstacle according to the omnidirectional environmental information in the current region, and controlling the vehicle to conduct an anti-collision behavior according a prediction result, a reasonable prediction may be made to the behavior of the obstacle based on the conservative anti-collision region and the omnidirectional environmental information, thus controlling the vehicle to conduct an accurate anti-collision behavior, thereby preventing collisions effectively, and avoiding an occurrence of traffic accidents.

A vehicle control arrangement is configured to control steering and velocity of a road vehicle including a velocity control arrangement, remote sensors configured to acquire vehicle surrounding information, a steering control unit configured to control steering of the vehicle based on the vehicle surrounding information, an upcoming road geometry detecting unit configured to detect presence of an upcoming curve section, a hands-on-wheel detecting unit configured to detect if presence exists of at least one hand on a steering wheel of the vehicle. The velocity control arrangement is configured to perform a reduction of velocity of the vehicle in case presence of an upcoming curve section is detected and no presence is detected of at least one hand on the steering wheel.

A navigation method, performed by a smart moving device, includes determining a navigation strategy according to a preset navigation calculation function; acquiring collision indication information related to a collision status when the smart moving device moves according to the navigation strategy; and adjusting the preset navigation calculation function according to the collision indication information; and updating the navigation strategy according to the adjusted navigation calculation function.

A vehicle control apparatus is mounted on a vehicle including an emergency stop function to detect an abnormal state of a driver and automatically stop the vehicle. The vehicle control apparatus provides control at a time of stopping the vehicle and includes process execution sections and a process stop section. The process execution sections perform predetermined emergency processes in response to the emergency stop function stopping the vehicle; the emergency processes control instruments mounted on the vehicle and use a battery of the vehicle as a driving power source. The process stop section stepwise stops at least part of the emergency processes performed by the process execution sections based on a predetermined stop sequence.

This on-vehicle system is to be mounted in a vehicle and is provided with an electronic control device and an externality recognition sensor. The externality recognition sensor is equipped with a sensing unit for acquiring pre-processing externality information through sensing operations. The on-vehicle system is further equipped with: a condition calculation unit that, on the basis of a vehicle position, a vehicle traveling direction, and map information, calculates a processing condition in which information specifying an area on a map is associated with processing priority of the pre-processing externality information acquired by the externality recognition sensor; and a processing object determination unit that, on the basis of the pre-processing externality information and the processing condition, creates externality information having a smaller amount of information compared with the pre-processing externality information.

A computer controlled laser based profiling system for accurate equipment positioning. In one embodiment the profiler is used in combination with a vehicle automated guidance system for guiding a vehicle and equipment secured to a vehicle for removing of road markings. The computer controlled profiler detects the position of one or more grinding, grooving, rumbling heads in the X, Y and Z position. A controller and one or more actuators are manipulated in response to ground markings visible in the field of the laser.

A device of measurement of transverse distribution of a wheel path. The device includes a measurement device, a first database, an analysis device, and a second database. The measurement device is configured to measure a shape and size of one side of a horizontal section of each of a plurality of vehicles, and to measure a distance between the one side of the horizontal section of each of the plurality of vehicles and a road shoulder. The first database is configured to store data of the shape and size of one side of the horizontal section of each of the plurality of vehicles, and of the distance between the one side of the horizontal section of each of the plurality of vehicles and the road shoulder, and raw data of a shape and size of one side of a horizontal section of a plurality of wheels.

A redundant hardware and software architecture can be designed to enable vehicles to be operated in an autonomous mode while improving the reliability and/or safety of such vehicles. A system for redundant architecture can include a set of at least two redundant sensors coupled to a vehicle and configured to provide timestamped sensor data to each of a plurality of computing unit (CU) computers. The CU computers can process the sensor data simultaneously based on at least a time value indicative of an absolute time or a relative time and based on the timestamped sensor data. The CU computers provide to a vehicle control unit (VCU) computer at least two sets of outputs configured to instruct a plurality of devices in a vehicle and cause the vehicle to be driven.