A container accessing station for accessing a storage container of an automated storage and retrieval grid. The container accessing station comprising: an access opening through which a human and/or robot may access contents of the storage container; a base opening; and a lifting device arranged to retrieve the storage container from a first level beneath the base opening and lift it up through the base opening to a second level so that the storage container may be accessed through the access opening.

The invention is also directed to a container accessing system and a method thereof.

A driving support apparatus according to the invention estimates the position of a moving body by controlling a position estimation unit when the tracking-target moving body leaves a first area or a second area to enter a blind spot area and detects the position of the moving body by controlling a position detection unit when the moving body leaves the blind spot area to enter the first area or the second area. In this manner, the trajectory of the tracking-target moving body is calculated so that the trajectory of the moving body detected in the first area or the second area and the trajectory of the moving body estimated in the blind spot area are continuous to each other and driving support is executed based on the calculated trajectory of the tracking-target moving body.

Aspects of the disclosure relate to controlling a transition between a manual driving mode and an autonomous driving mode of a vehicle. For instance, one or more processors of one or more control computing devices may control the vehicle in the autonomous driving mode. While controlling the vehicle in the autonomous driving mode and decelerating at a given rate, the processors may receive at a user input of the vehicle input requesting a transition from the autonomous driving mode to the manual driving mode. In response to the input, the processors may transition the vehicle to the manual driving mode. After transitioning the vehicle to the manual driving mode, the processors may send deceleration signals to a deceleration actuator thereby causing the vehicle to continue to decelerate at the given rate.

Provided is an apparatus for providing obstacle information and reliability information to vehicle based on information received from roadside units. The apparatus includes a communication module that receives obstacle information from multiple roadside units, each roadside unit including multiple sensors for detecting obstacles within a predetermined field of view. A reliability judgement unit in the apparatus determines a reliability of the received obstacle information to output a reliability value based on a number of roadside units detecting a same obstacle, a number of sensor of one roadside unit detecting a same obstacle, and a difference value of detection of the same obstacle between different roadside units or different sensors.

A vehicle includes a set of sound sensors coupled to one or more processing systems that process sound data from the set of sound sensors in order to provide assisted driving features or functionality such as an emergency vehicle avoidance.

The present invention provides a storage system (1) comprising a storage grid structure (104) and multiple container handling vehicles (200,300), the storage grid structure comprises vertical column profiles (102) defining multiple storage columns (105), in which storage containers (106) can be stored one on top of another in vertical stacks (107), and at least one transfer column (119,120), the column profiles are interconnected at their upper ends by top rails (110,111) forming a horizontal top rail grid (108) upon which the container handling vehicles (200,300) may move in two perpendicular directions, the container handling vehicles are able to retrieve storage containers (106) from, and store storage containers in, the storage columns (105), and transport the storage containers on the storage grid structure, wherein the storage grid structure (104) comprises at least one horizontal transfer section (2); and the storage system comprises multiple container transfer vehicles (6) and transfer rails (110′,111) forming a transfer rail grid (5) upon which the container transfer vehicles (6) may move in at least one horizontal direction, and the transfer section (2) is arranged at a level below the top rail grid (108) and extends from an external side (12) of the storage grid structure (104) to a position below the at least one transfer column (119,120) and comprises at least a section of the transfer rail grid (5) upon which section the container transfer vehicles (6) may pass each other and move in two perpendicular horizontal directions; and each of the container transfer vehicles comprises a container carrier (38) for carrying a storage container (106) and a wheel arrangement (32a,32b) for moving the container transfer vehicle (6) in two perpendicular directions upon the transfer rail grid (5); and wherein the at least one transfer column (119,120) extends from the top rail grid (108) to the transfer section (2), such that a storage container (106) may be transferred between the top rail grid (108) and the container carrier of one of the container transfer vehicles (6).

A controller can include an electronic processor unit configured to control the driving direction of a vehicle within a lane based on a first trajectory. The controller can be operable to receive a user input for directing the vehicle along a second trajectory that is different from the first trajectory, determine third trajectory data by at least comparing data associated with the first trajectory to data associated with the second trajectory, and output a control signal for controlling, using the electronic processor unit, the driving direction of the vehicle. The control signal can be based at least on the third trajectory data.

Embodiments of the disclosed systems and methods provide systems and techniques for improving reference route and/or trajectory information for autonomous vehicles that may allow for better operation and/or deployment. In certain embodiments, various optimization techniques may be employed for generating higher quality reference route and/or trajectory information based on initial reference route and/or trajectory information captured by an autonomous vehicle. Various embodiments of the disclosed systems and methods may improve reference route and/or trajectory information through processes that may involve editing and/or otherwise modifying initial route and/or trajectory information, smoothing path curves associated with initial reference route and/or trajectory information, modifying initial route and/or trajectory information based on vehicle-specific dynamics and/or parameters, and/or modifying velocities for improved passenger comfort.

In some examples, a first electronic control unit (ECU) receives zone sensor data of a plurality of zones associated with a vehicle. For instance, a respective second ECU and a respective set of zone sensors is associated with each respective zone of the plurality of zones. Based on an indicated driving mode of the vehicle, the first ECU may perform recognition on the zone sensor data from a first zone of the plurality of zones to determine first recognition information. The first ECU receives second recognition information from the respective second ECUs of the respective zones. For instance, the respective second ECUs are configured to perform recognition processing on respective zone sensor data from the set of zone sensors of the respective zones. Based on the first recognition information and the second recognition information, the first ECU sends at least one control signal to at least one vehicle actuator.

A driving support apparatus according to the invention estimates the position of a moving body by controlling a position estimation unit when the tracking-target moving body leaves a first area or a second area to enter a blind spot area and detects the position of the moving body by controlling a position detection unit when the moving body leaves the blind spot area to enter the first area or the second area. In this manner, the trajectory of the tracking-target moving body is calculated so that the trajectory of the moving body detected in the first area or the second area and the trajectory of the moving body estimated in the blind spot area are continuous to each other and driving support is executed based on the calculated trajectory of the tracking-target moving body.