Challenge <p>Trailer Angle Detection</p>

Trailer Angle Detection

Award:  $40,000 USD
Deadline: May 23 2019 23:59 EDT
Active Solvers: 384
Posted: Feb 22 2019
Challenge ID: 9934207
 
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Abstract

The Seeker desires a system for automated detection of the angle between a trailer and its tow vehicle utilizing video from an on-board rearward facing camera. The system must be robust and operate accurately under a variety of weather and lighting conditions and must function on a mobile processor typically found in modern vehicles.

This is a Reduction-to-Practice Challenge that requires written documentation, output from the proposed system, and submission of source code and/or executable for validation upon request.

Overview

Maneuvering a trailer behind a car or truck can be a challenging task, particularly when backing around a corner or avoiding obstacles. Rear facing cameras can help a driver by providing a view of the trailer but offer incomplete or distorted information due to optical anomalies that occur based on camera placement and the viewing lens. Knowing the angle the trailer is making with the tow vehicle would be a great help but this is difficult for a driver to determine simply from the video feed. A system to automatically determine the trailer angle would be extremely useful and while such systems currently exist their performance in difficult weather or lighting conditions is inadequate for the Seeker’s needs. Therefore the Seeker requests systems that can accurately determine trailer angle in a variety of weather and lighting circumstances utilizing the video feed from a rear-facing camera. The system must be able to operate in real time on a microprocessor typically found in modern vehicles. Solvers will be provided a training set of videos with corresponding frame-by-frame ground truth trailer angle data for development of their system as well as a testing set of videos on which to demonstrate their system.

A submission to the Challenge should include the following:

  1. A detailed description of the proposed Solution addressing specific Technical Requirements presented in the Detailed Description of the Challenge. This should also include a thorough description of the algorithm used in the Solution accompanied by a well-articulated rationale for the method employed.
  2. Output from the proposed algorithm applied to the testing data set. Output must be in the form described in the Detailed Description of the Challenge.  Submissions will be ranked by the Seeker based on accuracy against the testing data set.
  3. For the top ranked submissions, the Seeker may request source code and/or an executable with sufficient documentation to enable the Seeker to compile, execute the algorithm, and validate the method using additional validation data sets.

The Challenge award is contingent upon theoretical evaluation of the method/algorithm by the Seeker, and validation by the Seeker of the submitted reduction to practice Solution.

To receive an award, the Solver will have to transfer to the Seeker their exclusive Intellectual Property (IP) rights to the solution. 

Submissions to this Challenge must be received by 11:59 PM (US Eastern Time) on May 23, 2019

Late submissions will not be considered.

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InnoCentive is the global innovation marketplace where creative minds solve some of the world's most important problems for cash awards up to $1 million. Commercial, governmental and humanitarian organizations engage with InnoCentive to solve problems that can impact humankind in areas ranging from the environment to medical advancements.

What is an RTP Challenge?

An InnoCentive RTP (Reduction to Practice) Challenge is a prototype that proves an idea, and is similar to an InnoCentive Theoretical Challenge in its high level of detail. However, an RTP requires the Solver to submit a validated solution, either in the form of original data or a physical sample. Also the Seeker is allowed to test the proposed solution. For details about treatment of IP rights, please see the Challenge-Specific Agreement.

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