A movable carrier auxiliary system includes an environment detecting device, a state detecting device, and a control device. The environment detecting device includes at least one image capturing module and an operation module. The image capturing module captures an environment image in a traveling direction of the movable carrier. The operation module detects whether there is at least one of a target carrier and a lane marking in the environment image captured in the traveling direction for generating a detection signal. The state detecting device detects a moving state of the movable carrier and generating a state signal. The control device continuously receives the detection signal and the state signal, and controls the movable carrier to follow the target carrier or the lane marking according to the detection signal and the state signal upon receiving the detection signal that there is the target carrier or the lane marking in the environment image.

A LIDAR system includes a plurality of LIDAR units. Each of the LIDAR units includes a housing defining a cavity. Each of the LIDAR units further includes a plurality of emitters disposed within the cavity. Each of the plurality of emitters is configured to emit a laser beam. The LIDAR system includes a rotating mirror and a retarder. The retarder is configurable in at least a first mode and a second mode to control a polarization state of a plurality of laser beams emitted from each of the plurality of LIDAR units. The LIDAR system includes a polarizing beam splitter positioned relative to the retarder such that the polarizing beam splitter receives a plurality of laser beams exiting the retarder. The polarizing beam is configured to transmit or reflect the plurality of laser beams exiting the retarder based on the polarization state of the laser beams exiting the retarder.

The driver preferences system can determine driver habits and preferences based on output from a plurality of sensors. Utilizing the output from the plurality of sensors, an autonomous vehicle can operate according to the learning habits and preferences of the driver. The operator of the driver preferences system can finely adjust any habits or preferences via a driver preferences interface, as well as select preset modes including an aggressive driving mode or a cautious driving mode. Additionally, one or more driver profiles can be stored and selected via the driver preferences interface so that more than one driver can have an autonomous vehicle operator according to their personal driving habits and/or preferences.

A method can include sending, via a processing device, a signal to at least two of a plurality of location indicators from an autonomous vehicle in motion and transporting equipment or passengers. The method can further include receiving signals from the at least two location indicators. The method can further include determining a location of the autonomous vehicle within an indoor facility based on the received signals. The method can further include comparing the determined location to a corresponding pre-determined location. The method can further include, in response to the determined location being different than the pre-determined location, adjusting a direction of the autonomous vehicle along a predetermined path within the indoor facility.

The present invention refers to a method for providing a multi-lane scenario driving support for an ego vehicle (10) in a traffic situation. Traffic surroundings are measured by an environment sensor system (14), whereby the traffic surroundings include data about traffic and free space within an ego lane (16) of the ego vehicle (10) and at least an adjacent lane (12a, 12b), and data about front proximity area (18) and rear proximity area (20) of the ego vehicle (10). A decision device (22) evaluates the measured traffic surroundings and decides a driving operation to be executed by the ego vehicle (10) based on at least one strategy. In the decision device (22) a cost function is used for choosing one of at least six strategies, the cost function being based on at least a core priority, whereby the core priority is to avoid collision of the ego vehicle (10) and not cause collision of the ego vehicle (10) with a third party vehicle (24. The decision device (22) by means of the cost function chooses one of at least the following six strategies: braking in the ego lane (16), to combine braking and steering within the ego lane (16) of the ego vehicle (10), steering within the ego lane (16) of the ego vehicle (10) to avoid an obstacle, to full-brake in the ego lane (16) of the ego vehicle (10), to combine braking and steering towards or when entering temporarily an adjacent lane (12a, 12b) and steering towards or when entering temporarily an adjacent lane (12a, 12b).

The present invention obtains a processor, a processing method, a warning system, and a straddle-type vehicle capable of improving both the rider's safety and the rider's comfort.

A processor (20) includes: an acquisition section that acquires surrounding environment information corresponding to output of a surrounding environment detector (11) during travel of a straddle-type vehicle (100); a determination section that determines necessity of warning operation provided to the rider and generated by the warning system (1); and a control section that makes an alarm (30) perform the warning operation in the case where the determination section determines that the warning operation is necessary. The acquisition section further acquires helmet posture direction information corresponding to output of a helmet posture direction detector (13) during the travel of the straddle-type vehicle (100). The determination section determines the necessity of the warning operation on the basis of the surrounding environment information and the helmet posture direction information.

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.

A system, including: a non-transitory memory; and one or more hardware processors coupled to the non-transitory memory and configured to read instructions from the non-transitory memory to cause the system to perform operations including: detecting a first automobile; determining that the first automobile is a self-driving automobile; and in response to determining that the first automobile is a self-driving automobile, causing a second automobile to emulate a motion of the first automobile.

A method for open-loop or closed-loop control of a driver assistance system of a vehicle, including: a) using a first sensor device to detect from a roadway at least one lane and a roadway marking that separates the lane from an edge of the roadway; b) using a second sensor device to detect operation of at least one operating device of the vehicle that influences the driving dynamics of the vehicle by virtue of the driver; c) using steering actuators and/or brake actuators to influence the driving dynamics of the vehicle; and d) outputting, if there is a threat of the vehicle leaving the lane, as detected by the first sensor device, a first warning signal. A related driver assistance system is also described.

A vehicle control device includes a detector configured to detect a surrounding object of a host vehicle, a generator configured to generate a first target trajectory on the basis of a shape of a traveling path in which the host vehicle travels, a first potential calculator configured to calculate a guiding potential which represents safety of traveling along the first target trajectory, a second potential calculator configured to calculate a surrounding potential which represents safety based on a surrounding object of the host vehicle, a third potential calculator configured to calculate a traveling potential, which represents safety when the host vehicle is moved in a direction intersecting a traveling direction of the host vehicle at each point included in an area in which the host vehicle will be traveling in the future based on the first target trajectory, on the basis of the guiding potential and the surrounding potential, and a traveling controller configured to perform traveling control of the host vehicle on the basis of a second target trajectory obtained by modifying the first target trajectory on the basis of the traveling potential.