The present disclosure relates to systems and methods for host vehicle navigation. In one implementation, a navigation system for a host vehicle may include at least one processing device programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a first flow of traffic and a second flow of traffic; determine a presence of at least one navigational state characteristic indicative of an alternating merging of the first flow of traffic and the second flow of traffic into a merged lane; cause at least a first navigational change to allow one target vehicle from the first flow of traffic to proceed ahead of the host vehicle; and cause at least a second navigational change to cause the host vehicle to follow the target vehicle into the merged lane.

A method for the performance-enhancing driver assistance of a road vehicle driven on a track. The method comprises the steps of defining a dynamic model of the road vehicle, determining the actual position and orientation of the road vehicle, detecting a plurality of space data concerning the structure of the track, detecting a plurality of dynamic data of the vehicle, determining a passing through point of the road vehicle arranged in front of the road vehicle, solving an optimum control problem aimed at optimizing a cost function, taking into account, as boundary conditions, the plurality of environmental data, the actual position and the passing through point, so as to compute a mission optimizing the cost function, and driving the vehicle in an autonomous manner so as to show to the driver the mission optimizing the cost function.

A vehicle travel control device controls travel of a vehicle toward a target stop position. Travel state information indicates a travel state of the vehicle and includes vehicle position information indicating positions the vehicle and each wheel. Difference-in-level position information indicates a position of a difference-in-level on a travel path. The vehicle travel control device determines whether the vehicle goes beyond the target stop position when a subject wheel of the vehicle passes the difference-in-level, based on the difference-in-level position information and the vehicle position information. When determining that the vehicle goes beyond the target stop position, the vehicle travel control device changes the target stop position so as to prevent the subject wheel from passing the difference-in-level, or generates a braking force to stop the vehicle before the subject wheel passes the difference-in-level.

A self-propelled robot for rebar binding including wheel units that travel on intersecting rebars; frame units mounted multiply aligned on right and left of the wheel units corresponding to an array interval of the rebars on which the wheel unit travels, binder holding units positioned between a front wheel and rear wheel of the wheel unit and by which rebar binders that bind intersecting rebars are detachably mounted per each wheel unit; driving units each having a binder driving portion that drives the binder holding unit up and down; and a control unit that controls travel motion of the wheel units and binding motion of the rebar binder. The driving units each include a trigger driving pin, and the control unit having a binding control portion that causes the trigger driving pins of the driving units to simultaneously and respectively press the triggers of the rebar binders.

A vehicle can include various sensors to detect objects in an environment. In some cases, the object may be within a planned path of travel of the vehicle. In these cases, leaving the planned path may be dangerous to the passengers so the vehicle may, based on dimensions of the object, dimensions of the vehicle, and semantic information of the object, determine operational parameters associate with passing the object while maintaining a position within the planned path, if possible.

A parking assist system is configured to autonomously move a vehicle to a target parking position. The parking assist system includes: a distance acquiring unit configured to acquire a distance between the vehicle and a vehicle stopper provided in the target parking position; and a control unit configured to control a movement of the vehicle to the target parking position based on the distance acquired by the distance acquiring unit.

Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise an interface to obtain sensing data of an environment of the host vehicle. A processing device may be configured to determine a planned navigational action for the host vehicle; identify, from the sensing data, a target vehicle in the environment of the host vehicle; predict a distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a host vehicle braking distance based on a braking capability, acceleration capability, and speed of the host vehicle; determine a target vehicle braking distance, based on a speed and braking capability of the target vehicle; and implement the planned navigational action when the predicted distance of the planned navigational action is greater than a safe longitudinal distance being calculated based on the host vehicle and target vehicle braking distances.

Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. In particular, a method may include receiving an indication of a sensor anomaly, determining one or more sensor recovery strategies based on the sensor anomaly, and executing a course of action that ensures the autonomous vehicle system operates within accepted parameters. Alternative sensors may be relied upon to cover for the sensor anomaly, which may include a failed sensor while the autonomous vehicle is in operation.

This vehicle control device comprises: action amount determination units that determine evasive action amounts indicating the degree of evasive action relative to a recognized obstacle; and a travel control unit that performs travel control whereby a vehicle is caused to take evasive action corresponding to the determined evasive action amount. The action amount determination units determine the amount of evasive action, according to user preferences for the vehicle.

A self-propelled robot for rebar binding including wheel units that travel on intersecting rebars; frame units mounted multiply aligned on right and left of the wheel units corresponding to an array interval of the rebars on which the wheel unit travels, binder holding units positioned between a front wheel and rear wheel of the wheel unit and by which rebar binders that bind intersecting rebars are detachably mounted per each wheel unit; driving units each having a binder driving portion that drives the binder holding unit up and down; and a control unit that controls travel motion of the wheel units and binding motion of the rebar binder. The driving units each include a trigger driving pin, and the control unit having a binding control portion that causes the trigger driving pins of the driving units to simultaneously and respectively press the triggers of the rebar binders.