Overall software and hardware development for the CARINA 1, CARINA 2 (autonomous vehicle) and the Autonomous Truck projects; Development of hardware device drivers for Linux, and hardware/software integration with the ROS framework;Overall development and testing of autonomous vehicle software architecture using ros. https://www.youtube.com/watch?v=IyPNdDn8Hu8Development of a LIDAR-based obstacle detection avoiding several common assumptions proposed in literature. Red points in https://www.youtube.com/watch?v=bBpw8jsiH8E#t=30 are obstacles detected by my algorithm without flat surface assumption.Obstacle detection using KITTI dataset. (Best Student Poster Presentation at 2014 Intelligent Vehicles Symposium) https://www.youtube.com/watch?v=-r0WQsuG-DI, https://www.youtube.com/watch?v=M2x7Rg7dskI, https://www.youtube.com/watch?v=FEePJBn3Yos .Development of a STEREO-VISION-based obstacle/road detection in real-time with similar scores of LIDAR approach. https://www.youtube.com/watch?v=j17mWmt4SMo.Free space after my obstacle detection using KITTI dataset. https://www.youtube.com/watch?v=IoNb4yx_0IE.master's thesis which I was co-supervisor https://www.youtube.com/watch?v=bOvY2YieyVs, https://www.youtube.com/watch?v=CD6X99RacgM.Road area estimation based on visual features (color-based) and machine learning techniques.http://lrm.icmc.usp.br/web/index.php?n=Eng.ProjRoadANN, https://www.youtube.com/watch?v=efzr8nI1o1MLane Departure Warning System using my road marking enhancement algorithm, https://youtu.be/6N0rEXL30gU (see night situation in 0:23)Experience with sensors:3D LIDARs, Monocular and stereo camerasHokuyo UTM-30LX, SICK 2D-LIDARTech : ROS, PCL(Point Cloud Library), C++, OpenCV, Python, Machine Learning;

Participated as 3D Point Clouds Expert Consulting and Software Developer of a package of tools for automated test of Autonomous Driving solutions for a global automotive company;Development of 3D Point Cloud segmentation tool for general objectsDevelopment of Multiple Hypothesis TrackingDevelopment of multi platform(Linux and Windows) multi-threaded pipeline for Point Clouds treatment;Implementation state of art algorithms and ad-hoc solutions for segmentation and tracking objects in Point Clouds;Tech : C++, BOOST, PCL (Point Cloud Library), Eigen, Machine Learning;

Participate as team manager of technical support of Computer Science Department from UFMS