International Business Machines Corporation

Baidu USA LLC

Pony Ai Inc.

Haojun Wang

Shaoshan Liu

Shivakumar Vaithyanathan

James P Peng

Tian Zhang

Jihong Ma

Quan Wang

Jialin Jiao

Vehicles, methods, and computer readable storage media are provided for implementing a hybrid control for an autonomous vehicle. The vehicle can be controlled by receiving a request from an individual for transportation in the vehicle. The vehicle can then navigate with an autonomous control component to the location of an individual to commence the transportation. Then the vehicle can detect, by one or more sensors, that the individual has entered the vehicle. Then, responsive to detecting that the individual has entered the vehicle, the vehicle can change from an autonomous control component to a hybrid control component wherein the hybrid component control comprises allowing the individual to control one or more vehicle control features that were under autonomous control in autonomous component control.

Systems and methods for implementing a hybrid control for an autonomous vehicle

According to one embodiment, a master storage node receives a search query for searching images from a client, where the master storage node is coupled to a number of worker storage nodes over a storage network. The master storage node performs a hash operation on one or more keywords of the search query using a first predetermined hash function, generating a first hash value. A first of the worker storage nodes is identified based on the first hash value. The master storage node redirects the search query to the first worker storage node to allow the first worker storage node service the search query. The first worker storage node is to identify one or more images from a first system memory of the first worker storage node based on the search query and to transmit the one or more images to the client.

Unified storage system for online image searching and offline image analytics

According to one embodiment of the present invention, a computer-implemented method of performing analytics on a large quantity of data accommodated by an external mass storage device is provided. The analytics may be divided into a set of modules, wherein each module is selectively executed and comprises a script for a parallel processing engine to perform a corresponding atomic operation on the analytics. A user selection is received of one or more modules to perform desired analytics on the large quantity of data from the external mass storage device, and the selected modules execute scripts for the parallel processing engine to perform the corresponding atomic operations of the desired analytics.

Performing data analytics utilizing a user configurable group of reusable modules

In one embodiment, a cluster manager partitions media data into multiple media data partitions, each of which is to be processed by a computing node of a computing system. A platform module in a computing node receives a number of media files included in a media data partition. The platform module encodes each media file from an original format into a predefined format. The platform module then combines or serializes each encoded media file into a single stream of serialized data, and transmits it to a user module in the computing node. The user module separates from each other the received encoded media files. The user module then decodes each separated, encoded media file from the predefined format into the original format, and performs a specific media processing operation on each decoded file. Examples of the media processing operation include classification, image transformation, and feature extraction.

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San Jose, CA, United States of America

Haojun Wang