ChallengeRocket
  • Product
    • Recruitment Challenges
    • Skill Assessment
    • Direct Hire
    • Hackathons
    • Intern Challenges
  • Challenges
  • Case-studies
  • Employers
  • Log in
  • Join talent network
  • Book demo
Menu
  • Home
  • Challenges
  • NVIDIA® Jetson™ Developer Challenge

This Challenge is completed

NVIDIA® Jetson™ Developer Challenge

NVIDIA® Jetson™ Developer Challenge
  • Winners announced
  • Winners announced
prize pool $42,789

SEE RESULTS

SEE RESULTS

Oct 23, 2017 - Feb 18, 2018 23:59 UTC
Voting: Feb 19 - Mar 04, 2018 23:59 UTC
  • Challenge outline
  • Resources
  • Participants
  • Projects
  • FAQ
  • Results
  • Updates
  • Rules
NVIDIA® Jetson™ Developer Challenge
  • Challenge outline
  • Resources
  • Participants
  • Projects
  • FAQ
  • Results
  • Updates
  • Rules

PS

Pranjay Shyam

Added: Feb 18, 2018

TAGS

  1. Autonomous Vehicles, Lane Detection, Object Detection and Classification

TYPE OF PROJECT

Hardware, Presentation

VOTES: 2 LIKES: 1

Lane and Object Detection using Neural Networks

  • play
  • Lane and Object Detection using Neural Networks
  • pdf
  • Lane and Object Detection using Neural Networks
  • Lane and Object Detection using Neural Networks

    Project description

    The project focuses on object detection and classification along with drivable road detection, which is one of the core foundations for autonomous vehicles.

    The system consists of 2 neural network pipelines -

    The first neural network detects and classifies various objects (traffic lights, pedestrians, cars, trucks, bus) using a single end to end neural network. The neural network is constructed using depth wise and point wise convolutions to increase the speed and reduce the number of parameters. The training of the neural network is carried on google cloud, using ADAM optimization and KITTI dataset.

    The second neural network detects drivable lane paths using semantic segmentation based neural network. This network is also trained on google cloud on a custom dataset which consists of videos captured under different environmental and driving conditions. 

    Overall the first version of the system shows impressive results which could further be boosted. for object detection and classification, improved results can be obtained using tracking algorithms whereas for lane detection larger and more broader dataset can be used for improving the results, apart from changing the structure of the network.

    • previous project
    • next project

    Comment


    Please login to leave a comment


    Comments (0)


    ChallengeRocket
    Tech talent
    Challenges Blog Find jobs Employers
    Companies
    Business HR Blog Pricing
    Challengerocket
    FAQ EU Join Us Contact Us
    Copyright © 2023 ChallengeRocket. All rights reserved.
    Privacy Terms and Conditions Service status

    Let’s talk

    Proven effectiveness - get up to x3 more candidates and shorter recruitment time.

    In view of your consent, the data you provide will be used by ChallengeRocket Sp. z o.o. based in Rzeszów (address: Pl. Wolności 13/2, 35-073, +48 695 520 111, office@challengerocket.com) to send messages as part of the newsletter subscription. Don't worry, only us and the entities that support us in our activities will have access to data. All information on data processing and your rights can be obtained by contacting us or at www.challengerocket.com in the Privacy Policy tab.

    We will reply within 2 business days.

    Log in


    Forgot your password?

    OR
    Don’t have an account?
    Create a candidate account or a company account

    Log in

    Forgot your password?

    Create a candidate account

    Already have an account?
    Log in
    OR
    • At least 10 characters
    • Uppercase Latin characters
    • Lowercase Latin characters
    • At least one number or symbol

    Not a candidate?  Sign up as an employer

    Reset your password

    Remember your password? Log in Log in for business

    Create an employer account

    Sign up for free.
    Select the best plan to publish job ofers & challenges.

    Company name introduced here will be visible on your job ads.
    • At least 10 characters
    • Uppercase Latin characters
    • Lowercase Latin characters
    • At least one number or symbol

    Not an employer?  Sign up as a candidate