Autonomous Vehicles @ Nvidia
San Francisco Bay Area
Udacity
Nanodegree, Machine Learning Engineer
2018 to 2019
The Australian National University
Bachelor of Engineering (B.E.) with Honours, Mechatronics, Mechanical
The Australian National University
Bachelor of Asian Studies, Asian Politics and International Relations, Japanese
- Radar Perception Lead: Surround object tracking and sensor fusion (IMU/odometry, cross-radar), adaptive estimation, statistical signal processing, Doppler ambiguity unwrapping, motion classification, and host motion compensation (SW release in NVIDIA DRIVE SDK). Freespace for highway Lane Changes (SW release in NVIDIA DRIVE SDK). Machine learning on radar with implementation of a foreground MLP classifier and integration of... - Radar Perception Lead: Surround object tracking and sensor fusion (IMU/odometry, cross-radar), adaptive estimation, statistical signal processing, Doppler ambiguity unwrapping, motion classification, and host motion compensation (SW release in NVIDIA DRIVE SDK). Freespace for highway Lane Changes (SW release in NVIDIA DRIVE SDK). Machine learning on radar with implementation of a foreground MLP classifier and integration of object detector DNN. https://devblogs.nvidia.com/autonomous-vehicle-radar-perception-in-360-degrees/- Radar System Lead: Drove HW and SW efforts from scratch for multiple generations of surround radar sensing. 77GHz sensor supplier selection. Mounting bracket and radome design guidance, RF testing, and sign off. 360 FOV architecture. Sensor health watchdogs. General HW & SW bring-up, verification, and validation. Released in NVIDIA DRIVE Hyperion. - Support and guidance for other radar based SW such as simulation, mapping & localization, trajectory, and self-calibration.- Support for camera perception algorithms, and adjustments to camera-radar fusion.- Integration with system software, rendering, perception, planning, and control. - Software development in C/C++ and python with Linux, git, cmake, bazel, docker, and gtest. Offline bench resim, Drivesim, and many in vehicle tests and full system drives.
What company does Shane Murray work for?
Shane Murray works for NVIDIA
What is Shane Murray's role at NVIDIA?
Shane Murray is Senior Perception Engineer - Systems Software, Autonomous Vehicles
What industry does Shane Murray work in?
Shane Murray works in the Automotive industry.
Who are Shane Murray's colleagues?
Shane Murray's colleagues are Justyna Zander, Ashok Kelur, Hemant Nigam, Vinoth Selvan, Abhishek Bajpayee, Timur Tabi, Manvender Rawat, Goran Devic, Aravinth C P, and Thiaga Arumugam
💼 Past Experience
ShaneMurray's primary experience with radar basedSW development is developing Radar Perception Lead for Surround Object Tracking and Sensor Fusion (IMU/odometry, cross-radar), adaptive estimation, statistical signal processing, Doppler ambiguity unwrapping, motion classification, and host motion compensation (SW release in NVIDIA DRIVE SDK). He also has experience in software development in C/C++ and python with Linux, git, cmake, bazel, docker, and gtest. His recent work experience also includes supporting and guidance for other radar basedSW such as simulation, mapping & localization, trajectory, and self-calibration.
🎓 Education
Shane Murray is a Mechanical Engineer with a Nanodegree from the University of California, Santa Barbara. His professional experience includes working as a Machine Learning Engineer at Udacity and a Japanese Studies major at The Australian National University. Shane is currently a Mechanical Engineer at Emirates Airline as a R&D Engineer. His education at The Australian National University faculties him in Asian Studies and Japanese Language and Literatures.
💡 Technical & Interpersonal Skills
Shane Murray's Contact Information:Email: [email protected] Murray's Group Co-workers:Email: [email protected]: [email protected]
Extraversion (E), Intuition (N), Feeling (F), Judging (J)
2 year(s), 0 month(s)
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There's 87% chance that Shane Murray is seeking for new opportunities
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