An autonomous driving system includes: at least one sensor (1) configured to collect environment information around a vehicle; a primary decision unit (21) configured to calculate decision information based on the environment information collected by the at least one sensor (1), and transmit the decision information to a controller (3); an alternative decision unit (22) configured to calculate decision information based on the environment information collected by the at least one sensor (1) in response to detecting that the primary decision unit (21) is abnormal, and transmit the decision information to the controller (3); and the controller (3) configured to calculate vehicle control information based on the received decision information, and transmit the vehicle control information to a bottom vehicle controller. In this way, the stability and reliability of the autonomous driving system can be improved and safety of autonomous driving of the vehicle can be guaranteed.

A method for detecting, a roadside object including, a three-dimensional object in the vicinity of a vehicle on a road surface includes recording at least one data set including a plurality of data points associated with a region in a lateral vicinity of the vehicle, the region at least partially including at least one wheel of the vehicle and the road surface, where each data point includes according, to whether it corresponds to the at least one wheel to the road surface or to the roadside object, determining a distance between a data point classified as corresponding to the at least one wheel and a data point classified as corresponding to the roadside object and generating a signal if the distance is below at least one threshold value.

A vehicle control device includes at least one electronic control unit configured to recognize at least one object, calculate a time to collision, operate first driving assistance, when the time to collision is equal to or less than a first threshold value, operate second driving assistance for avoiding the collision between the at least one object and the host vehicle or reducing damage of the collision, when the time to collision is equal to or less than a second threshold value smaller than the first threshold value, and set, while the first driving assistance is operated, the second threshold value to a second setting value smaller than a first setting value set when the first driving assistance is not operated, when a second target object causing the second driving assistance to operate is the same object as a first target object causing the first driving assistance to operate.

Various techniques related to a sensor for use with autonomous driving and/or navigation of a vehicle. The techniques can include use of three members, one of the members housing a sensor for use with autonomous driving and/or navigation of the vehicle. The members can define cavities housing others of the three members.

A vehicle includes one or more sensors arranged on at least one of a dashboard, a roof, and a center console of the vehicle, or one or more image capturing devices for capturing one or more images from a left side and a right side of the vehicle, an electronic control unit (ECU) configured to communicate with the one or more sensors or the one or more image capturing devices, and at least one of a morphing surface, a windshield display, and one or more displays configured to be controlled by the ECU, where the one or more sensors are arranged under a black panel surface.

A method for the automated control of a motor vehicle (10) is presented. The method includes the following steps: Generating and/or receiving a reference trajectory (T*) for the motor vehicle (10); Generating at least two possible trajectories ({circumflex over (x)}.sub.i) for the motor vehicle (10); Comparing the at least two possible trajectories ({circumflex over (x)}.sub.i) with the reference trajectory (T*); and Selecting one of the at least two possible trajectories ({circumflex over (x)}.sub.i) based on the comparison of the at least two possible trajectories ({circumflex over (x)}.sub.i) with the reference trajectory (T*).

A control device (24) for a system for the control of a motor vehicle (10) is also proposed.

A driving assistance apparatus of a vehicle includes a first sensor, a second sensor and a control unit. The first sensor obtains a position of an object with respect to the first sensor. The second sensor obtains a position of an object with respect to the vehicle. The control unit assists driving of the vehicle utilizing first vehicle relative position for an object detected by the first sensor which indicates a position of that object with respect to the vehicle. The control unit obtains the first vehicle relative position based on a correction angle formed between a reference axis of the vehicle and a reference axis of the first sensor. The correction angle is obtained based on a position of a target with respect to the first sensor obtained by the first sensor, and a position of the target with respect to the vehicle obtained by the second sensor.

An optical apparatus includes a deflector configured to deflect illumination light from a light source to scan an object, and configured to deflect reflected light from the object, a light guide configured to guide the illumination light form the light source to the deflector, and configured to guide the reflected light from the deflector to a light receiving element, an optical member having a reflective area that makes first light which is part of the illumination light from the deflector incident on the deflector by reflection, and a controller configured to obtain information regarding the deflector on the basis of information of the first light from the reflective area. In a cross-section including the optical path from the reflective area to the light guide, a width of the reflective area is smaller than a width of the illumination light on the reflective area.

Methods, devices and apparatuses pertaining to U-turn assistance. The method may include obtaining, by a computing device, geographic obtaining of a location designated for an operation of a U-turn. The computing device may further obtain vehicle information of a vehicle performing the U-turn, and collect user information of an operator of the vehicle. Based on the geographic information, the vehicle information and the user information, the computing device may determine a level of difficulty of the U-turn and assist the operator with the operation of the U-turn based on the level of difficulty.

An autonomous driving system performing autonomous driving of a vehicle, includes a vehicle position acquisition device acquiring a position of the vehicle on a map, a vehicle state acquisition device acquiring a vehicle state of the vehicle, an occupant state acquisition device acquiring an occupant state of the vehicle, a destination candidate database storing destination candidate data including a destination candidate and the occupant state correlated with the destination candidate; and an electronic control unit. The electronic control unit determines whether or not the vehicle is in a boarding completion state based on the vehicle state and the occupant state, and sets a destination of the vehicle in autonomous driving based on the position of the vehicle on the map, the occupant state, and the destination candidate data in a case where electronic control unit determines that the vehicle is in the boarding completion state.