Engineer - Mapping and Localization
2 weeks ago
Job Description:
- Researching, developing, and deploying algorithms for environmental mapping & accurate positioning of self-driving cars
- Interact with vehicle manufacturers and access state-of-the-art autonomous vehicle testing platforms in real testing environment
- Tackle a broad range of real-world localization problems and come out with robust solution to help ensure the vehicles are safely driving on the road
- Design and implement High-Definition 3D Mapping using LIDAR, Vision and/or GPS-INS systems
- Design and implement real-time vehicle localization using LIDAR, camera and sensor fusion
- Design and implement real-time vehicle localization via map matching
- Calibration of multiple sensor setup on vehicle
- Test algorithm on real-road driving
- Write professional design and technical documentation
Job Requirements:
- Bachelor's degree in Computer Science or a related field, or equivalent experience. Master's degree and above will be an advantage.
- 2+ year experience on C++ software development, preferred on Linux platform
- Strong knowledge on Lidar SLAM with real deployment experience, and/or, experience with Visual Odometry (VO), Visual-inertial Odometry (VIO), Visual SLAM
- Good knowledge on 3D Reconstruction, SLAM, scan matching, ICP and Bundle Adjustment
- Good knowledge on probabilistic theory, Kalman filter, particle filter, estimation, nonlinear optimization techniques
- Experience with nonlinear solvers such as Ceres, g2o
- Good knowledge on sensor characterization (e.g., error modelling, bias, stability etc.)
- Hands-on experience in sensor interfacing, data capture and synchronization
- Experience in using version control tools such as Git
- Able to work independently as team player
- Strong problem solving, analytical and conceptual skills, with good communication skill
The above information on this description has been designed to indicate the general nature, and level, of the work performed by this position. It is not designed to contain, or be interpreted, as a comprehensive inventory of all duties, responsibilities and qualifications required.
Interested candidates may also apply or write in to CS Chua, EA 12C6130/ R1548619 [HIDDEN TEXT]. Shortlisted candidates will be contacted for a discussion.
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