Linux Embedded Challenge Projects - 2014

Document created by Cosmin Stefan Stoica Employee on Feb 11, 2015Last modified by ebiz_ws_prod on Dec 13, 2017
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1. Adaptive Dynamic Headlights with Pedestrian Spotlight Function - by eVision


    • Team members:
      • Balaban Valeriu  - Master, Advanced Microelectronics, Electronics, UPB
      • Voicu Tudor Alexandru - Bachelor, Applied Electronics, Electronics, UPB
      • Stanescu Sebastian - Bachelor, Telecom Networking and Software, UPB


    • Short description:
          Because of the high rate of fatalities between night accidents a lot of research are held for developing techniques to
      increase the driver area of vision during the night and to reduce the accident damage if this could not be avoided. The
      adaptive headlight function helps to see further in poor light conditions and especially in bends: the cornering light
      swivels the headlights in the direction of travel, with the degree of turn computed by a CPU, to illuminate as much road
      area as possible
          An interesting solution is spotlight lighting function, which is a LED beam that specifically illuminates potential hazards.
      If the near infrared camera detects deer at the roadside or pedestrians on the road, they can be briefly illuminated
      beyond the normal area covered by the main beams, by a spot-light to attention the driver for a possible danger.


    • Presentation:
      • Please consult eVisionPresentation.pdf.


    • Documentation:
      • Please consult eVisionDoc.pdf.




2. Voice Commanded Interface for DriverVehicle Interaction - by She#


    • Team members:
      • Iulia Neagoe - Computer Sciences and Military Information Systems,Military Technical Academy
      • Mihaela-Anca Sorostinean - Computer Sciences and Military Information Systems,Military Technical Academy


    • Short description:
      In the context of continuous technological advances in the automotive and communications domains, a drivers
      responsibility has switched from just controlling the car to interacting with the multitude of gadgets provided by the
      manufacturer. The purpose of this project is to design an interface that offers the driver the possibility of controlling
      some of the nonvital functionalities of the car by vocal commands, so as to enable the driver to focus his attention
      on the road while also having a comfortable mean of communication with the car.
           We developed a system of vocal recognition of some basic features like the radio, windows, clima or a phone
      which we implemented on the Wandboard. Also we provide the user with a graphical interface of the recognized
      commands in order to enhance his interaction with the vehicle.


    • Presentation:
      • Please consult ShePresentation.pdf.


    • Documentation:
      • Please consult SheDoc.pdf.


    • Code Sources
      • Please see



3. Driving Control Software - by FreeSoftwares


    • Team members:
      • Petrosanu Adrian-Sabin - Computer Science, UPB
      • Birsan Nicoleta Cosmina - Computer Science, UPB
      • Radoi Ioana Gabriela - Computer Science, UPB


    • Short description:
      "Driving Control Software" is a soft to control an automatic gearbox. This project consists of simulating the behavior
      of an automatic gearbox on the Wandboard. An automatic gearbox is a type of motor vehicle transmission that can
      automatically change gear ratios as the vehicle moves.


    • Presentation:
      • Please consult FreeSoftwaresPresentation.pdf.


    • Documentation:
      • Please consult FreeSoftwaresDoc.pdf.


    • Code Sources
      • Please see



4. Autonomous Car Parking - by ATM


    • Team members:
      • Mihai Coca - Computer Sciences and Military Information Systems,Military Technical Academy
      • Georgian Andrei - Computer Sciences and Military Information Systems,Military Technical Academy
      • Hiji Iulian - Computer Sciences and Military Information Systems,Military Technical Academy


    • Short description:

      A large number of companies are developing autonomous vehicle technology through applying its work in the area to
      a particular usage case : parking. The purpose of this
      project is to design a concept vehicle, which can be dropped off
      at the curb by its owner
      and left to its own devices to enter into a spot park. The process can even be reversed
      when the owner is ready to go, with the car leaving the spot park on its own to meet its key-holder again at the curb.

    • Documentation:
      • Please consult ATMDoc.pdf
    • Code Sources
      • Please see


5. Collision Detection - by Beer2.0


    • Team members:
      • Nitu Adrian - Computer Science, UPB


    • Short description:
      The purpose of our project is to provide cars with a sense of the road ahead and enable it to take preventive actions against
      collisions; In this way we hope to reduce accidents on the road. It will gather signals and informations from different hardware
      and will alert the driver or take immediate control of the car in order to make critical maneuvers in order to protect the driver
      from any life threatening event.
      A Freescale Cup car will be equipped with a Wandboard and two USB cameras so we can track the environment. After initial
      object tracking we will incorporate Human Interaction by remote control. For this project we believe a simple warning system
      and/or breaking will suffice as a proof of concept.


    • Presentation:
      • Please consult Beer20Presentation.pdf


    • Documentation:
      • Please consult Beer20Doc.pdf




6. Feedforward adaptive noise cancellation using sub-band normalized filtered-X LMS algorithm - by Brainiacs


    • Team members:
      • Cristian Monea - Telecommunications and Information Technology, Electronics, UPB
      • Madalin Zaharia - Telecommunications and Information Technology, Electronics, UPB


    • Short description

      This project proposes a feedforward adaptive noise cancellation (ANC) algorithm based on sub-band normalized filtered-X LMS (NFXLMS).
      The use of an adaptive algorithm offers advantages over simple filtering algorithms like fixed FIR or IIR filters. Also, noise generated in a
      car environment can be considered stationary because it preserves some of its properties, like spectral distribution, mean, variance, which
      allows the use of adaptive filters in car noise cancellation applications.
      The feedforward system should be more efficient than feedback systems. In this case, a coherent reference noise input is sensed before it
      propagates past the canceling speaker.
      Thus, the algorithm will simulate the two sensors (microphones): reference sensor, which measures the primary noise to be canceled,
      and the error sensor.


    • Presentation:
      • Please consult BrainiacsPresentation.pdf


    • Documentation:
      • Please consult BrainiacsDoc.pdf

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