Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth associated with lane markings expressed in god's view; receiving features from at least one of a hit-map image and a fitted lane marking, wherein the hit-map image includes a classification of pixels that hit a lane marking, and the fitted lane marking includes pixels optimized based on the hit-map image; and training a confidence module based on the features and the ground truth, the confidence module configured to determine on-line whether a fitted lane marking is reasonable, using parameters that express a lane marking in an arc.

Abstract: Devices, systems and methods for fusing scenes from real-time image feeds from on-vehicle cameras in autonomous vehicles to reduce redundancy of the information processed to enable real-time autonomous operation are described. One example of a method for improving perception in an autonomous vehicle includes receiving a plurality of cropped images, wherein each of the plurality of cropped images comprises one or more bounding boxes that correspond to one or more objects in a corresponding cropped image; identifying, based on the metadata in the plurality of cropped images, a first bounding box in a first cropped image and a second bounding box in a second cropped image, wherein the first and second bounding boxes correspond to a common object; and fusing the metadata corresponding to the common object from the first cropped image and the second cropped image to generate an output result for the common object.

Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth associated with lane markings expressed in god's view; receiving features from at least one of a hit-map image and a fitted lane marking, wherein the hit-map image includes a classification of pixels that hit a lane marking, and the fitted lane marking includes pixels optimized based on the hit-map image; and training a confidence module based on the features and the ground truth, the confidence module configured to determine on-line whether a fitted lane marking is reasonable, using parameters that express a lane marking in an arc.

Abstract: A relay includes: a housing, a base plate, and a driving device, connected to the base. At least one stationary contact group is provided on the housing. The stationary contact group includes two stationary contacts insulated from each other. At least one stationary contact in the stationary contact group includes an upper terminal and a lower contact are included. The upper terminal and the lower contact are isolated from each other and electrically connected by a fuse. The base plate is provided in the housing and can switch between on and off positions. The base plate, when being in the on position, contacts the stationary contact group for the electrical conduction of the two stationary contacts in the stationary contact group, and, when being in the off position, is isolated from the stationary contact group for disconnecting the electrical conduction of the two stationary contacts in the stationary contact group.

Abstract: The subject matter discloses a relay, including a housing, static contact bridges, a moving contact bridge, a pushing mechanism and a detection assembly.

Abstract: The present subject matter provides a relay, including an insulating cover, two static contact bridges, a moving contact bridge, a drive shaft and a driving mechanism; a conductive layer is provided on the inner surface of the top of the insulating cover; the relay comprises an auxiliary conduction structure and an auxiliary detection structure; the auxiliary conduction structure includes a conductive member and an elastic member that elastically supports the conductive member below; the conductive member is arranged on the drive shaft, the drive shaft moves up to drive the moving contact bridge to be conducted with the static contact bridges, and the conductive member is conducted with the conductive layer; the drive shaft moves down to drive the moving contact bridge to be disconnected from the static contact bridges, and the conductive member is disconnected from the conductive layer; the auxiliary detection structure comprises a first auxiliary terminal and a second auxiliary terminal; the first auxiliary

Abstract: A vehicle position and velocity estimation based on camera and LIDAR data are disclosed.

Abstract: A vehicle position and velocity estimation based on camera and LIDAR data are disclosed.

Abstract: A system and method for proximate vehicle intention prediction for autonomous vehicles are disclosed. A particular embodiment is configured to: receive perception data associated with a host vehicle; extract features from the perception data to detect a proximate vehicle in the vicinity of the host vehicle; generate a trajectory of the detected proximate vehicle based on the perception data; use a trained intention prediction model to generate a predicted intention of the detected proximate vehicle based on the perception data and the trajectory of the detected proximate vehicle; use the predicted intention of the detected proximate vehicle to generate a predicted trajectory of the detected proximate vehicle; and output the predicted intention and predicted trajectory for the detected proximate vehicle to another subsystem.

Abstract: A system and method for proximate vehicle intention prediction for autonomous vehicles are disclosed. A particular embodiment is configured to: receive perception data associated with a host vehicle; extract features from the perception data to detect a proximate vehicle in the vicinity of the host vehicle; generate a trajectory of the detected proximate vehicle based on the perception data; use a trained intention prediction model to generate a predicted intention of the detected proximate vehicle based on the perception data and the trajectory of the detected proximate vehicle; use the predicted intention of the detected proximate vehicle to generate a predicted trajectory of the detected proximate vehicle; and output the predicted intention and predicted trajectory for the detected proximate vehicle to another subsystem.

Abstract: A method of visual odometry for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: receiving a lane marking, expressed in god's view, associated with a current view; fitting, in a post-processing module, the lane marking in an arc by using a set of parameters; generating a lane template, using the set of parameters, the lane template including features of the lane marking associated with the current view and features of the arc; and feeding the lane template associated with the current view for detection of a next view.

Abstract: The present disclosure provides a method, an apparatus and a system for multi-module scheduling, capable of solving at least one of the problems associated with the multi-module scheduling technique in the related art, i.e., inconsistency in data inputted to a computing module, and a significant delay or low throughput in data transmission between computing modules.

Abstract: The present disclosure provides a method, an apparatus and a system for multi-module scheduling, capable of solving the problem associated with inconsistency in data inputted to a computing module in the multi-module scheduling technique in the related art.

Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth; off-line training a lane detection algorithm by using the ground truth, the lane detection algorithm using parameters that express a lane marking in an arc; on-line generating a predicted lane marking; comparing the predicted lane marking against the ground truth; and off-line refining the lane detection algorithm.

Abstract: A system and method for implementing an image annotation platform are disclosed. A particular embodiment includes: registering a plurality of labelers to which annotation tasks are assigned; assigning annotation tasks to the plurality of labelers; determining if the annotation tasks can be closed or re-assigned to the plurality of labelers; aggregating annotations provided by the plurality of labelers as a result of the closed annotation tasks; evaluating a level of performance of the plurality of labelers in providing the annotations; and calculating payments for the plurality of labelers based on the quantity and quality of the annotations provided by the plurality of labelers.

Abstract: A computerized reward mechanism system is proposed which makes use both of presently collected data relating to the customer, and a database of historical data relating to the customer. Using this information, the system performs a customer preference analysis, which results in selecting rewards which are adapted to the customers' personal needs. In one form, the system is positioned at a shopping center, and includes cameras for recognising past customers by image processing. This may be done without requiring customers to participate in a process of signing up to use the system. The presently collected data include responses to questions put to the customer relating to his present shopping experience. Customer honesty is considered in the step of determining which rewards to offer the consumer, to encourage the consumers to express their feelings more clearly.

Abstract: A system and method for distributed graphics processing unit (GPU) computation are disclosed. A particular embodiment includes: receiving a user task service request from a user node; querying resource availability from a plurality of slave nodes having a plurality of graphics processing units (GPUs) thereon; assigning the user task service request to a plurality of available GPUs based on the resource availability and resource requirements of the user task service request, the assigning including starting a service on a GPU using a distributed processing container and creating a corresponding uniform resource locator (URL); and retaining a list of URLs corresponding to the resources assigned to the user task service request.

Abstract: The present subject matter provides a relay, including an insulating cover, two static contact bridges, a moving contact bridge, a drive shaft and a driving mechanism; a conductive layer is provided on the inner surface of the top of the insulating cover; the relay comprises an auxiliary conduction structure and an auxiliary detection structure; the auxiliary conduction structure includes a conductive member and an elastic member that elastically supports the conductive member below; the conductive member is arranged on the drive shaft, the drive shaft moves up to drive the moving contact bridge to be conducted with the static contact bridges, and the conductive member is conducted with the conductive layer; the drive shaft moves down to drive the moving contact bridge to be disconnected from the static contact bridges, and the conductive member is disconnected from the conductive layer; the auxiliary detection structure comprises a first auxiliary terminal and a second auxiliary terminal; the first auxiliary

Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth associated with lane markings expressed in god's view; receiving features from at least one of a hit-map image and a fitted lane marking, wherein the hit-map image includes a classification of pixels that hit a lane marking, and the fitted lane marking includes pixels optimized based on the hit-map image; and training a confidence module based on the features and the ground truth, the confidence module configured to determine on-line whether a fitted lane marking is reasonable, using parameters that express a lane marking in an arc.

Abstract: A method of visual odometry for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: receiving a lane marking, expressed in god's view, associated with a current view; fitting, in a post-processing module, the lane marking in an arc by using a set of parameters; generating a lane template, using the set of parameters, the lane template including features of the lane marking associated with the current view and features of the arc; and feeding the lane template associated with the current view for detection of a next view.