menu
{ "item_title" : "Deep Learning Methods for Automotive Radar Signal Processing", "item_author" : [" Rodrigo Pérez González "], "item_description" : "For autonomous driving to become a reality, future sensor systems must be able to not only capture the vehicle's environment, but also to provide semantic information. In this work, deep learning methods, meant to enhance-or even replace-the classical radar signal processing chain, are developed and evaluated in the context of automotive applications. For this purpose, state of the art computer vision approaches are adapted and applied to radar signals in order to detect and classify different road users.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/73/697/462/3736974620_b.jpg", "price_data" : { "retail_price" : "49.88", "online_price" : "49.88", "our_price" : "49.88", "club_price" : "49.88", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Deep Learning Methods for Automotive Radar Signal Processing|Rodrigo Pérez González

Deep Learning Methods for Automotive Radar Signal Processing

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

For autonomous driving to become a reality, future sensor systems must be able to not only capture the vehicle's environment, but also to provide semantic information. In this work, deep learning methods, meant to enhance-or even replace-the classical radar signal processing chain, are developed and evaluated in the context of automotive applications. For this purpose, state of the art computer vision approaches are adapted and applied to radar signals in order to detect and classify different road users.

This item is Non-Returnable

Details

  • ISBN-13: 9783736974623
  • ISBN-10: 3736974620
  • Publisher: Cuvillier
  • Publish Date: June 2021
  • Dimensions: 8.27 x 5.83 x 0.29 inches
  • Shipping Weight: 0.38 pounds
  • Page Count: 136

Related Categories

You May Also Like...

    1

BAM Customer Reviews