Abstract: The present disclosure discloses a performance evaluation method of a LNG ambient air vaporizer, comprising: step 1, performing a site test on an actually-operating LNG AAV and obtaining its parameters, performing a fluid-thermal coupling calculation and simulation of the LNG AAV by use of FEA software, then performing model modification based on the test results; step 2, performing fluid-thermal-structure coupling calculation of an AAV for validation in the FEA software, adding a submodel module for optimization and validation tests; step 3, performing fluid-thermal-structure coupling calculation on the LNG AAV to be evaluated under a design operation condition and an operation condition of the AAV to be put into service in a certain region, and evaluating the LNG AAV according to the results. The present disclosure can evaluate vaporization performance and fatigue life of the AAV simultaneously and has good operability and economical efficiency.

Abstract: A vehicular control system determines a planned path of travel for a vehicle along a traffic lane in which the vehicle is traveling on a road. The system determines a respective target speed for waypoints along the planned path that represents a speed the vehicle should travel when passing through the respective waypoint. The system determines a speed profile for the vehicle to travel at as the vehicle travels along the planned path, with at least two different speeds being based on a difference in target speeds of at least two consecutive respective waypoints of the plurality of waypoints. The system determines an acceleration profile for the vehicle to follow as it changes from one speed to another speed of the speed profile. The system controls the vehicle to maneuver the vehicle along the planned path in accordance with the determined speed and acceleration profiles.

Abstract: A vehicular control system determines a planned path of travel for a vehicle along a traffic lane in which the vehicle is traveling on a road. The system determines a respective target speed for waypoints along the planned path that represents a speed the vehicle should travel when passing through the respective waypoint. The system determines a speed profile for the vehicle to travel at as the vehicle travels along the planned path, with at least two different speeds being based on a difference in target speeds of at least two consecutive respective waypoints of the plurality of waypoints. The system determines an acceleration profile for the vehicle to follow as it changes from one speed to another speed of the speed profile. The system controls the vehicle to maneuver the vehicle along the planned path in accordance with the determined speed and acceleration profiles.

Abstract: A control system for a vehicle includes a control that determines a planned path of travel for the vehicle along a road being traveled by the vehicle and along a traffic lane in which the vehicle is traveling on the road. The control determines a speed profile for the vehicle along the planned path responsive at least in part to (i) detection of an object along the determined planned path of travel and (ii) determination of a speed limit change along the determined planned path of travel. The control controls the vehicle to maneuver the vehicle along the determined planned path of travel in accordance with the determined speed profile.

Abstract: A vehicular control system for controlling a vehicle includes a vehicle control, an acceleration sensor and a camera. The vehicle control includes an image processor for processing image data captured by the camera as the vehicle is driven along a route by a driver of the vehicle. The vehicle control detects traffic and road topography and determines acceleration of the vehicle as the vehicle is driven along the route by the driver. The vehicle control learns the route during multiple repetitive drives of the route by the driver of the vehicle. The vehicle control increases a confidence level of the learned route during multiple repetitive drives of the route by the vehicle. When the confidence level exceeds a threshold value, the vehicle control is operable to at least semi-autonomously control the vehicle to drive the vehicle along the route.

Abstract: A vision system for a vehicle includes a camera disposed at a vehicle and having a field of view exterior of the vehicle. A brightness control, responsive to processing of a frame of image data captured by the camera, interpolates towards an expected brightness for a next frame of captured image data by calculating a set of at least three brightness values using three different control coefficients derived from a previous frame of image data captured by said camera. The brightness control interpolates toward the expected brightness of the next frame of captured image data using the current expected brightness value and two of the three brightness values derived from the three control coefficients derived from the previous frame of captured image data.

Abstract: A control system for a vehicle includes a control that determines a planned path of travel for the vehicle along a road being traveled by the vehicle and along a traffic lane in which the vehicle is traveling on the road. The control determines a speed profile for the vehicle along the planned path responsive at least in part to (i) detection of an object along the determined planned path of travel and (ii) determination of a speed limit change along the determined planned path of travel. The control controls the vehicle to maneuver the vehicle along the determined planned path of travel in accordance with the determined speed profile.

Abstract: A vision system for a vehicle includes a camera disposed at a vehicle and having a field of view exterior of the vehicle. A brightness control, responsive to processing of a frame of image data captured by the camera, interpolates towards an expected brightness for a next frame of captured image data by calculating a set of at least three brightness values using three different control coefficients derived from a previous frame of image data captured by said camera. The brightness control interpolates toward the expected brightness of the next frame of captured image data using the current expected brightness value and two of the three brightness values derived from the three control coefficients derived from the previous frame of captured image data.

Abstract: A control system for controlling a vehicle includes a vehicle control operable to control driving of the vehicle. The vehicle control includes circuitry and associated software and is operable to learn features of a route driven by the vehicle during multiple repetitive drives of the route by the vehicle. After the vehicle control has sufficiently learned the route, the vehicle control is operable to at least semi-autonomously control the vehicle to drive the vehicle along the route. While the vehicle control is at least semi-autonomously controlling the vehicle to drive the vehicle along the route, and responsive to determination of a deviation from the learned features of the route, the vehicle control adjusts the at least semi-autonomously control of the vehicle.