Related skills
lidar opencv ros ros2 ekf/ukf📋 Description
- Identify gaps in localization and mapping for mixed indoor/outdoor envs
- Implement, deploy, test and maintain new localization for the autonomous system
- Develop and maintain sensor calibration across sensors, time, and vehicles
- Develop online validation and calibration tools
- Develop and maintain the topographical map of the operating environment
- Collaborate with localization & autonomy teams to deploy the system
🎯 Requirements
- Bachelor’s or Master’s candidate in CS, EE, ME, Robotics, or related field
- 1+ years in robotics, automation or autonomous driving
- Theoretical knowledge in localization or calibration
- Strong C++ programming; Linux (Ubuntu/Debian); ROS/ROS2; OpenCV
- Experience with nonlinear optimization or filtering; sensors (LiDAR, GPS/GNSS, IMU, Radar)
- Collaborative, strong communicator with problem solving skills
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