Abstract: An intersection speed deciding method includes a dataset obtaining and calculating step and a speed adjusting step. At least one of the vehicles expected to pass through one of the points is defined as the approaching vehicle, and a first arrival time of the approaching vehicle is obtained. Whether a preceding vehicle is on the host route is judged. If yes, a second arrival time of the preceding vehicle is obtained. Whether the host vehicle is expected to wait for a red light is judged. If yes, a red light duration is obtained. A time difference exists between a best arrival time and a corresponding expected arrival time, and each time difference is minimized based on the first arrival time, the second arrival time and the red time duration. A speed of the host vehicle is adjusted or remained based on the expected arrival times.

Abstract: The intelligent driving method applied to a vehicle includes a support vector machine providing step in which the support vector machine is provided. The support vector machine has been trained by a training process. In the training process, a training dataset is provided to the support vector machine. The training dataset is obtained after an original dataset processed by a dimensionality reducing module and a time scaling module. The intelligent driving method includes a dataset processing step in which p features from an environment sensing unit are processed by the dimensionality reducing module and the time scaling module, and the processed dataset will be provided to the support vector machine. The intelligent driving method further includes a deciding step for providing a driving decision for the vehicle according to a classed result of the support vector machine.

Abstract: A method for planning a trajectory for a self-driving vehicle on a road includes: generating multiple target planned trajectory sets based on information concerning the self-driving vehicle; calculating multiple projected moving ranges and multiple projected moving speeds of an obstacle based on information concerning the obstacle, the projected moving ranges corresponding respectively with multiple time points in a driving time period, the projected moving speeds corresponding respectively with the time points; and selecting one of the target planned trajectory sets as an optimal planned trajectory set based on the target planned trajectory sets, the projected moving ranges and the projected moving speeds for the obstacle.

Abstract: The intelligent driving method applied to a vehicle includes a support vector machine providing step in which the support vector machine is provided. The support vector machine has been trained by a training process. In the training process, a training dataset is provided to the support vector machine. The training dataset is obtained after an original dataset processed by a dimensionality reducing module and a time scaling module. The intelligent driving method includes a dataset processing step in which p features from an environment sensing unit are processed by the dimensionality reducing module and the time scaling module, and the processed dataset will be provided to the support vector machine. The intelligent driving method further includes a deciding step for providing a driving decision for the vehicle according to a classed result of the support vector machine.

Abstract: An automatic driving method and device able to diagnose decisions is disclosed herein, wherein a vehicle body signal sensor detects vehicle body information, and an environment sensor detects traffic environment information. The information is transmitted to a central processor to generate a future driving track. The central processor examines whether the differences between the future driving track and the traffic environment information and the indexes of the future driving track meet tolerances. If no, the central processor transmits notification information to an automatic driving controller. If yes, the central processor transmits the future driving track to the automatic driving controller to make the automatic driving controller undertake automatic driving according to the future driving track. The present invention can automatically judge whether the future driving track generated by the central processor is within tolerances and determine whether the automatic driving track is safe.

Abstract: An adaptive method for controlling a vehicle speed and an adaptive device for using the same is disclosed. The method controls a vehicle speed of a host vehicle that is driving. A front vehicle drives in front of the host vehicle. There is a vehicle distance between the host vehicle and the front vehicle. Firstly, first accelerations of the host vehicle are retrieved and the vehicle speeds corresponding to the first accelerations and the vehicle distances corresponded thereof are retrieved. When all the first accelerations are not zero, the extreme values of the first accelerations are deleted. Finally, the vehicle speed of the host vehicle is controlled according to all the retrieved accelerations, their corresponding vehicle distances, and the vehicle speeds corresponded thereof.

Abstract: An adaptive method for controlling a vehicle speed and an adaptive device for using the same is disclosed. The method controls a vehicle speed of a host vehicle that is driving. A front vehicle drives in front of the host vehicle. There is a vehicle distance between the host vehicle and the front vehicle. Firstly, first accelerations of the host vehicle are retrieved and the vehicle speeds corresponding to the first accelerations and the vehicle distances corresponded thereof are retrieved. When all the first accelerations are not zero, the extreme values of the first accelerations are deleted. Finally, the vehicle speed of the host vehicle is controlled according to all the retrieved accelerations, their corresponding vehicle distances, and the vehicle speeds corresponded thereof.

Abstract: A gas stove apparatus includes a gas supply unit, a gas-flow adjusting cap and a flame guiding member. The gas supply unit has a gas reservoir and an annular opening formed at a top portion of the reservoir. The gas reservoir is connected with a gas inlet conduit for supplying a gas. The gas-flow adjusting cap is disposed on the annular opening of the gas supply unit, and is formed with a plurality of longitudinal gas nozzles and a plurality of slanted gas nozzle. Bias gas flows exhausted from the slanted gas nozzles are incorporated into straight gas flows exhausted from the longitudinal gas nozzles to thereby create a spiral concentrated gas flow in an axial direction of the gas-flow adjusting cap.

Abstract: An atomizing board includes a board surrounded by a peripheral frame that is configured to allow stacking of two atomizing boards. The board includes a number of atomizing holes defined therein. A periphery that defines each atomizing hole includes an annular upper wall extending upwardly therefrom and an annular lower wall extending downwardly therefrom. The atomizing holes are arranged in the board in a manner that they are asymmetrical to a central transverse axis of the board such that in two stacked atomizing boards consisting of an upper atomizing board and a lower atomizing board, one of the lower atomizing board and the upper atomizing board is in a status that is rotated through 180.degree. or turned upside-down relative to the other of the lower atomizing board and the upper atomizing board, and each atomizing hole on the upper atomizing board is partially aligned with at least one of the atomizing holes of the lower atomizing board.