Abstract: A system and method for instance-level lane detection for autonomous vehicle control includes: receiving training image data from a training image data collection system; performing a training phase to train a plurality of tasks associated with features of the training image data, the training phase including extracting roadway lane marking features from the training image data, causing the plurality of tasks to generate task-specific predictions based on the training image data, determining a bias between the task-specific prediction for each task and corresponding task-specific ground truth data, and adjusting parameters of each of the plurality of tasks to cause the bias to meet a pre-defined confidence level; receiving image data from an image data collection system associated with an autonomous vehicle; and performing an operational phase including extracting roadway lane marking features from the image data, causing the plurality of trained tasks to generate instance-level lane detection results.

Abstract: A system and method for multitask processing for autonomous vehicle computation and control includes: receiving training image data from a training image data collection system; performing a training phase to train a plurality of tasks associated with features of the training image data, the training phase including extracting common features from the training image data, causing the plurality of tasks to generate task-specific predictions based on the training image data, determining a bias between the task-specific prediction for each task and corresponding task-specific ground truth data, and adjusting parameters of each of the plurality of tasks to cause the bias to meet a pre-defined confidence level; receiving image data from an image data collection system associated with an autonomous vehicle; and performing an operational phase including extracting common features from the image data, causing the plurality of trained tasks to concurrently generate task-specific predictions based on the image data.

Abstract: The present invention provides a high-energy-density secondary lithium-ion battery, including: a lithium-ion cell, a steel shell, a protection IC, an integrated IC, resistors, capacitors, an inductor, a MicroUSB interface, a plastic structural part, a square rigid FR-4 substrate, a circular rigid FR-4 substrate and a metal cap, for integrating three functions of a constant voltage output, charge management and protection, overcharge and overdischarge protection, and overcurrent protection. Compared with the prior art, the large-capacity secondary battery of the present invention can achieve multi-functional integration of the battery, and also can save the space occupied by accessory structural parts of the battery and achieve a high energy density of the battery, and is also conducive to improving the reliability.

Abstract: The present invention provides a large-capacity secondary battery, including: a rechargeable cell, a steel shell, a protection IC, an integrated IC, resistors, capacitors, an inductor, an LED lamp, a plastic part, a circular rigid FR-4 substrate, a metal cap, an insulation pad and an insulation heat shrink film, for integrating multiple functions of a constant voltage output, charge management and protection, and overcharge, overdischarge and overcurrent protection. Compared with the prior art, the large-capacity secondary battery of the present invention can achieve multi-functional integration of the battery, and also can save the space occupied by accessory structural parts of the battery and achieve a large capacity of the battery.

Abstract: An apparatus and a method for laser beam shaping and scanning. The apparatus includes a digital micromirror device (DMD) including a plurality of micromirrors, configured to receive a first laser beam, adjust an axial position of a focal point of the first laser beam along a moving direction of the first laser beam by controlling a focal length of wavefront of a binary hologram applied to the DMD, and adjust a lateral position of the focal point on a plane perpendicular to the moving direction by controlling a tilted angle of a fringe pattern and a period of fringes of the binary hologram applied to the DMD, wherein the DMD simultaneously functions as programmable binary mask and a blazed grating.

Abstract: A system and method for fisheye image processing can be configured to: receive fisheye image data from at least one fisheye lens camera associated with an autonomous vehicle, the fisheye image data representing at least one fisheye image frame; partition the fisheye image frame into a plurality of image portions representing portions of the fisheye image frame; warp each of the plurality of image portions to map an arc of a camera projected view into a line corresponding to a mapped target view, the mapped target view being generally orthogonal to a line between a camera center and a center of the arc of the camera projected view; combine the plurality of warped image portions to form a combined resulting fisheye image data set representing recovered or distortion-reduced fisheye image data corresponding to the fisheye image frame; generate auto-calibration data representing a correspondence between pixels in the at least one fisheye image frame and corresponding pixels in the combined resulting fisheye image

Abstract: A system and method for vehicle occlusion detection is disclosed.

Abstract: A system and method for image localization based on semantic segmentation are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on an autonomous vehicle; performing semantic segmentation or other object detection on the received image data to identify and label objects in the image data and produce semantic label image data; identifying extraneous objects in the semantic label image data; removing the extraneous objects from the semantic label image data; comparing the semantic label image data to a baseline semantic label map; and determining a vehicle location of the autonomous vehicle based on information in a matching baseline semantic label map.

Abstract: A squid-type marine oil containment device includes a track and four oil containment booms. A robotic arm is provided in an elliptic area formed by the track. Sliders are provided on the track. Ends of oil containment booms slide along the track through sliders. Each oil containment boom includes an oil suction pipe, propellers and a plastic separating layer. A middle of the oil suction pipe forms an oil channel. Booster pumps are spacedly provided inside the oil suction pipe and are respectively connected to a hose. Pairs of propellers are spacedly provided at a lower end of the oil suction pipe. Oil suction holes are provided on the oil suction pipe. The plastic separating layer is provided under the oil suction holes. A counterweight is provided at a bottom of the oil containment boom. The invention further provides a method of containing oil using the device.

Abstract: A contacting device and method are presented for the collection, contacting, and distribution of fluids between particulate beds of a downflow vessel, which may operate in co-current flow. By one approach, the contacting device includes a liquid collection tray, a mixing channel in fluid communication with the liquid collection tray, and a liquid distribution zone.

Abstract: A laser fabrication method and a laser fabrication system. The laser fabrication system includes an ultrafast laser source configured to output a laser beam; and a digital micromirror device (DMD), configured to receive, shape, and scan the laser beam, wherein more than one binary holograms are synthesized to form a scanning hologram applied to the DMD. The shaped laser beam, containing one or multiple focal points, leaving the DMD, are focused to the sample for fast laser fabrication.

Abstract: The present disclosure provides a rechargeable battery for an induction garbage bin, comprising a steel shell, a battery core, an output structural component and an intermediate connection structural component, the battery core being provided in the steel shell, wherein, a lower end of a USB fixing structural part of the intermediate connection structural component is fittingly sleeved on an open end of the steel shell; a positive end of the battery core is connected with a positive tab connection point (B+) on a PCB substrate, a negative end of the battery core is connected with a negative tab connection point (B?) on the PCB substrate; the output structural component is fittingly clamped and sleeved on a USB metal part of the intermediate connection structural component; and a positive clamp output end (O+) of the electronic component is in close contact with a metal languet of a positive cap of the output structural component.

Abstract: A system and method for fisheye image processing is disclosed.

Abstract: A system and method for vehicle occlusion detection is disclosed.

Abstract: A system and method for actively selecting and labeling images for semantic segmentation are disclosed. A particular embodiment includes: receiving image data from an image generating device; performing semantic segmentation or other object detection on the received image data to identify and label objects in the image data and produce semantic label image data; determining the quality of the semantic label image data based on prediction probabilities associated with regions or portions of the image; and identifying a region or portion of the image for manual labeling if an associated prediction probability is below a pre-determined threshold.

Abstract: A system and method for semantic segmentation using hybrid dilated convolution (HDC) are disclosed. A particular embodiment includes: receiving an input image; producing a feature map from the input image; performing a convolution operation on the feature map and producing multiple convolution layers; grouping the multiple convolution layers into a plurality of groups; applying different dilation rates for different convolution layers in a single group of the plurality of groups; and applying a same dilation rate setting across all groups of the plurality of groups.

Abstract: A system and method for online real-time multi-object tracking is disclosed. A particular embodiment can be configured to: receive image frame data from at least one camera associated with an autonomous vehicle; generate similarity data corresponding to a similarity between object data in a previous image frame compared with object detection results from a current image frame; use the similarity data to generate data association results corresponding to a best matching between the object data in the previous image frame and the object detection results from the current image frame; cause state transitions in finite state machines for each object according to the data association results; and provide as an output object tracking output data corresponding to the states of the finite state machines for each object.

Abstract: A system and method for lateral vehicle detection is disclosed. A particular embodiment can be configured to: receive lateral image data from at least one laterally-facing camera associated with an autonomous vehicle; warp the lateral image data based on a line parallel to a side of the autonomous vehicle; perform object extraction on the warped lateral image data to identify extracted objects in the warped lateral image data; and apply bounding boxes around the extracted objects.

Abstract: Techniques that facilitate identification and/or analysis of sequences associated with computing devices are provided. In one example, a system includes a transaction component, a clustering component and a model component. The transaction component identifies at least one sequence in a stream of sequences generated by a computing device in communication with the system. The clustering component assigns the at least one sequence to a transaction sequence group. The model component generates a transaction model based on the transaction sequence group.

Abstract: A system and method for vehicle wheel detection is disclosed. A particular embodiment can be configured to: receive training image data from a training image data collection system; obtain ground truth data corresponding to the training image data; perform a training phase to train one or more classifiers for processing images of the training image data to detect vehicle wheel objects in the images of the training image data; receive operational image data from an image data collection system associated with an autonomous vehicle; and perform an operational phase including applying the trained one or more classifiers to extract vehicle wheel objects from the operational image data and produce vehicle wheel object data.