Dinesh Atchuthan
R&D Perception Engineer at EasyMile
Toulouse, Occitania, France
Summary
👤
Senior🎓
Top SchoolDinesh Atchuthan is an R&D Perception Engineer with 11 years of experience specializing in lidar-based perception, terrain estimation, and robustness to harsh weather for autonomous vehicles. He holds a PhD in inertial estimation and has translated academic factor-graph and Lie-theory methods into real-time C++ libraries and production features on vehicles. At EasyMile he delivered pointcloud filtering, novel free-region validation algorithms, and led harsh-weather data campaigns to quantify platform limits and guide solutions. His background includes visual-inertial SLAM and synchronization work from a postdoc, plus hands-on tracking and machine-learning experiments dating back to academic internships. Colleagues value him for bridging prototype research to production deployment and for supervising thesis work and publications on lidar-weather interactions. He brings a curious systems view—questioning single-IMU designs and focusing on estimators that detect both long-term state and short-term phenomena.
10 years of coding experience
1 year of employment as a software developer
Classe préparatoire, Physique-Chimie, Classe préparatoire, Physique-Chimie at Lycée LavoisierHigh School, Scientific Baccalaureat, High School, Scientific Baccalaureat at Lycée Louis Le GrandMaster's Degree, Ingénierie et Science physique du Vivant, Master's Degree, Ingénierie et Science physique du Vivant at Télécom Physique Strasbourg
French, English, German, tamoul, Japanese
Github Skills (15)
keyframe8
cryptocurrency6
localization6
cryptography5
crypto5
ros-driver4
amd4
ros4
ellipse3
driver2
sdk2
slam-algorithms2
camera2
windows1
imu1
Programming languages (2)
Github contributions (5)
AtDinesh/Matlab_imu_preintegration
Sep 2016 - Mar 2019
Contributions:93 commits, 20 pushes, 3 branches in 2 years 6 months
nmansard/humanoid-odomimu
Jul 2017 - Mar 2019
Contributions:100 commits, 45 pushes, 4 branches in 1 year 8 months
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