Abstract: A packaging liner, protecting covers using the packaging liner and packaging containers using the protecting covers are disclosed. The packaging liner includes a first resisting section, a second resisting section disposed opposite the first resisting section and a deformable section connected between the first resisting section and the second resisting section. The deformable section comprises a plurality of elastic members such that when at least one of the first resisting section and the second resisting section is stressed, the deforming section is able to deform to match the outline and dimensions of a packageable object.

Abstract: Systems and methods for vehicle surveillance include a camera for capturing target images of vehicles. An object recognition system is in communication with the camera, the object recognition system including a processor for executing a synthesizer module for generating a plurality of viewpoints of a vehicle depicted in a source image, and a domain adaptation module for performing domain adaptation between the viewpoints of the vehicle and the target images to classifying vehicles of the target images regardless of the viewpoint represented in the target images. A display is in communication with the object recognition system for displaying each of the target images with labels corresponding to the vehicles of the target images.

Abstract: Systems and methods for performing domain adaptation include collecting a labeled source image having a view of an object. Viewpoints of the object in the source image are synthesized to generate view augmented source images. Photometrics of each of the viewpoints of the object are adjusted to generate lighting and view augmented source images. Features are extracted from each of the lighting and view augmented source images with a first feature extractor and from captured images captured by an image capture device with a second feature extractor. The extracted features are classified using domain adaptation with domain adversarial learning between extracted features of the captured images and extracted features of the lighting and view augmented source images. Labeled target images are displayed corresponding to each of the captured images including labels corresponding to classifications of the extracted features of the captured images.

Abstract: Embodiments of the present disclosure allow user experience of photographing to be improved. In operation, it is determined whether a picture composition of a first object and a second object needs to be adjusted based on a predefined composition rule. If the picture composition needs to be adjusted, an adjusting pattern is determined based on the predefined composition rule. Then, the adjusting pattern is provided to a user to indicate the user to adjust the picture composition based on thereon.

Abstract: A touch screen and a touch device are provided. The touch screen includes a substrate and a plurality of touch electrodes on the substrate arranged at a same layer and in a matrix. Each of the plurality of touch electrode includes at least two sub-electrode wires, and the at least two sub-electrode wires are connected in sequence to form a polyline-shape. The substrate includes a plurality of sub-regions, each of the plurality of sub-region includes at least one touch electrode, and the at least one touch electrodes at a same sub-region are of an identical pattern. The plurality of sub-regions includes at least two sub-regions, and respective touch electrodes of the at least two sub-regions are of different patterns.

Abstract: Techniques for leveraging performance data to dynamically selecting content item-format pairs are provided. In response to receiving a request, a content campaign is selected and feature values associated with the request are identified. Based on the feature values, performance values are identified, where each performance value is associated with a different content item-format pair of multiple content item-format pairs. Based on the performance values, a particular content item-format pair is selected. The selected pair may not be associated with the highest performance value. The particular content item of the selected pair is transmitted over a computer network and presented on a computing device according to the format of the selected pair.

Abstract: An encoding method for encoding video data by adjusting a quantization parameter, the video data being partitioned into blocks comprising sets of quantized transform coefficients. The method includes, for a set of quantized transform coefficients corresponding to one of the blocks, collecting statistics, wherein the statistics comprise the number of quantized transform coefficients and the sum of the non-rounded quantization value of the quantized transform coefficients in the set. The method also includes deriving a step size based on the statistics, mapping the derived step size to a closest quantization parameter value, and quantizing a next block using the mapped quantization parameter value.

Abstract: In one embodiment, when an ADV is driving on a road segment, a driving parameter is recorded in response to a first control command. A difference between the first driving parameter and a target driving parameter corresponding to the first control command is determined. In response to determining that the difference exceeds a predetermined threshold, a second control command is issued to compensate the difference and cause the ADV to drive with a second driving parameter closer to the target driving parameter. A slope status of the road segment is derived based on at least the second control command. Map data of a map corresponding to the road segment of the road is updated based on the derived slope status. The updated map can be utilized to generate and issue proper control commands in view of the slope status of the road when the ADV drives on the same road subsequently.

Abstract: A silicone pressure sensitive adhesive with amphiphilic copolymers for maintaining adhesion in a moist environment. The amphiphilic copolymers for silicone adhesives include at least one silicone moiety and at least one hydrophilic segment. Such adhesives are applicable to securing medical devices to human skin.

Abstract: Driving parameters (e.g., speed, heading direction) that an autonomous driving vehicle (ADV) likely utilize as target driving parameters are grouped into a number of ranges and one of the driving parameters in each range is selected as a driving parameter representative or a target driving parameter representing the respective range or segment. For each of the target driving parameters representing the ranges, a particle swarm optimization method is utilized to derive a set of most optimized coefficients for a controller (e.g., speed controller, steering controller) for controlling an ADV. A driving parameter to coefficient (parameter/coefficient) mapping table is generated to map a particular driving parameter representing a range of driving parameter to a set of one or more coefficients of a particular controller. The parameter/coefficient mapping table is utilized at real-time to configure a controller in response to a particular target driving parameter using the corresponding coefficients.

Abstract: State of an autonomous driving vehicle (ADV) is measured and stored for a location and speed of the ADV. Later, the state of the ADV is measured for the location and speed corresponding to a previously stored state of the ADV at the same location and speed. Fields of the measured stored states of the ADV are compared. If one or more differences between the measured and stored ADV states exceeds a threshold, then one or more control input parameters of the ADV is adjusted, such as steering, braking, or throttle. Differences may be attributable to road conditions or to state of servicing of the ADV. Differences between measured and stored states of the ADV can be passed to a service module. Service module can access crowd sourced data to determine whether one or more control input parameters for a driving state of one or more ADVs should be updated.

Abstract: The present teachings relate to curable linear polymers that can be used as active and/or passive organic materials in various electronic, optical, and optoelectronic devices. In some embodiments, the device can include an organic semiconductor layer and a dielectric layer prepared from such curable linear polymers. In some embodiments, the device can include a passivation layer prepared from the linear polymers described herein. The present linear polymers can be solution-processed, then cured thermally (particularly, at relatively low temperatures) and/or photochemically into various thin film materials with desirable properties.

Abstract: A lane departure detection system detects that an autonomous driving vehicle (ADV) is departing from the lane in which the ADV is driving based on sensor data captured when the ADV contact a deceleration curb such as a speed bump laid across the lane. When the ADV contacts the deceleration curb, the lane departure detection system detects and calculates an angle of a moving direction of the ADV vs a longitudinal direction of the deceleration curb. Based on the angle, the system calculates how much the moving direction of the ADV is off compared to a lane direction of the lane. The lane direction is typically substantially perpendicular to the longitudinal direction of the deceleration curb. A control command such as a speed control command and/or a steering control command is generated based on the angle to correct the moving direction of the ADV.

Abstract: When generating a control command of an autonomous driving vehicle (ADV), a pitch status and/or a roll status of the road is determined. The control command is adjusted based on the pitch status and the roll status. For example, when an ADV is driving on an uphill or downhill road, a pitch status of the road is determined and a speed control command will be generated based on the pitch status of the road, such that the ADV have a similar acceleration rate as of driving on a flat road. Similarly, when the ADV is driving on a road that is tilted or rolled left or right, a roll status of the road is determined and a steering control command will be generated in view of the roll status of the road, such that the ADV have a similar heading direction as of driving on a flat road.

Abstract: In one embodiment, it is determined that an ADV is about to decelerate based on perception of a driving environment surrounding the ADV. In addition, if there is another vehicle that is following the ADV, a distance between the ADV and the following vehicle, as well as the speed of the following vehicle, is determined. A deceleration rate that is required for the following vehicle to avoid a collision with the ADV is determined based on the distance between the ADV and the following vehicle and the speed of the following vehicle. If the deceleration rate is greater than a predetermined threshold, a brake light and an emergency light of the ADV are turned on to warn the following vehicle that the ADV is about to rapidly decelerate as it is treated as an emergency situation.

Abstract: In one embodiment, an autonomous driving vehicle (ADV) steering control system determines how much and when to apply a steering control to maneuver obstacles of a planned route. The steering control system calculates a first steering angle based on a target directional angle and an actual directional angle of the ADV, a second steering angle based on a target lateral position and an actual lateral position of the ADV to maneuver a planned route, an object, or an obstacle course. The steering control system determines a target steering angle based on the first steering angle and the second steering angles and utilizes the target steering angle to control a subsequent steering angle of the ADV.

Abstract: In one embodiment, planning data is received, for example, from a planning module, to drive an autonomous driving vehicle (ADV) from a starting location and a destination location. In response, a series of control commands are generated based on the planning data, where the control commands are to be applied at different points in time from the starting location to the destination location. A cost is calculated by applying a cost function to the control commands, a first road friction to be estimated in a current trip, and a second road friction estimated during a prior trip from the starting location to the destination location. The first road friction of the current trip is estimated using the cost function in view of a prior termination cost of the prior trip, such that the cost reaches minimum.

Abstract: In one embodiment, a lane departure detection system detects at a first point in time that a wheel of an ADV rolls onto a lane curb disposed on an edge of a lane in which the ADV is moving. The system detects at a second point in time that the wheel of the ADV rolls off the lane curb of the lane. The system calculates an angle between a moving direction of the ADV and a lane direction of the lane based on the time difference between the first point in time and the second point in time in view of a current speed of the ADV. The system then generates a control command based on the angle to adjust the moving direction of the ADV in order to prevent the ADV from further drifting off the lane direction of the lane.

Abstract: The described embodiments relate to method and products for organizing a plurality of images. Specifically, the methods and products can automatically organize a plurality of images into a plurality of groups of images using allocation criteria. The allocation criteria for each image include a similarity distance between that image and at least one other image that measures how similar those images are. Each image can be allocated to at least one similar image group based on the similarity distance. The methods and products can also be used to visualize and display representative images for each of the groups of images.

Abstract: When an ADV is detected to transition from a manual driving mode to an autonomous driving mode, a first pedal value corresponding to a speed of the ADV at a previous command cycle during which the ADV was operating in the manual driving mode is determined. A second pedal value is determined based on a target speed of the ADV at a current command cycle during which the ADV is operating in an autonomous driving mode. A pedal value represents a pedal percentage of a maximum pedal pressure or maximum pedal pressed distance of a throttle pedal or brake pedal from a neutral position. A speed command is generated and issued to the ADV based on the first pedal value and the second pedal value, such that the ADV runs in a similar acceleration before and after switching from the manual driving mode to the autonomous driving mode.