Now-a-days, Advanced driver-assistance systems (ADAS) is equipping cars and drivers with advance information and technology to make them become aware of the environment and handle potential situations in better way semi-autonomously. High-quality training and test data is essential in the development and validation of ADAS systems which lay the foundation for autonomous driving technology.ADAS uses the technology like radar, vision and combinations of various sensors including LIDAR to automatize dynamic driving tasks like steering, braking, and acceleration of vehicle for controlled and safe driving. And to integrate these advance technologies, the ADAS needs labeled data to train the algorithm to detect the various objects and moments of driver. Image annotation is one the well-known service to create such training data for computer vision.There are number of open source annotated datasets available viz. COCO, KITTI etc. But these datasets are limited to either US or European road environment scenarios. There is hardly any dataset available for Indian Specific road conditions. In order to capture all the India Specific objects on road, we are capturing data through various environmental conditions, road conditions and annotating objects on the collected camera images. 2-D bounding boxes are being used to annotate objects in an image.These annotated images will then be used to train a machine learning model. Finally this trained model will be then used to detect Indian specific objects with real time data acquired through camera sensors mounted on the vehicle. Object detection is one of the prime aspects for ADAS functionality. The complete process will demonstrate end to end solution for object detection techniques from data generation to real-time object identification and recognition.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Machine Learning Based Model Development with Annotated Database for Indian Specific Object Detection


    Weitere Titelangaben:

    Sae Int. J. Adv. and Curr. Prac. in Mobility


    Beteiligte:
    Kale, Jyoti (Autor:in) / Karle, Manish (Autor:in) / Pachhapurkar, Ninad (Autor:in) / Shah, Rathin (Autor:in) / Karle, Ujjwala (Autor:in)

    Kongress:

    Symposium on International Automotive Technology ; 2021



    Erscheinungsdatum :

    2021-09-22


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Machine Learning Based Model Development with Annotated Database for Indian Specific Object Detection

    Pachhapurkar, Ninad / Shah, Rathin / Kale, Jyoti et al. | British Library Conference Proceedings | 2021


    Machine Learning based Object Detection with Theft Alert System

    Nitnaware, Swati / Bagde, Ashutosh | IEEE | 2022


    MACHINE LEARNING METHOD, TRAINED MODEL, CONTROL PROGRAM, AND OBJECT DETECTION SYSTEM

    YOSHIZAWA MASANORI | Europäisches Patentamt | 2020

    Freier Zugriff

    A Database Schema for Large Scale Annotated Image Dataset

    Peng, Shaowu / Liu, Leyuan / Yang, Xiong et al. | IEEE | 2008


    SPECIFIC OBJECT DETECTION DEVICE

    UEKI RYUJI / KIMURA YOSHIKO / UCHIDA MITSUHIRO | Europäisches Patentamt | 2019

    Freier Zugriff