Real-time Mapping Developer
7 days ago
The ideal candidate will have a strong background in robotic perception, image processing, and high-density map generation. You will work closely with our cross-functional team to develop innovative solutions for complex robotic challenges.
Main Responsibilities- Design and implement SLAM algorithms (LiDAR, Visual, RGB-D, or Multi-Sensor Fusion) for real-time applications.
- Develop point cloud processing pipelines for noise filtering, segmentation, and high-density map generation.
- Work with image processing and deep learning techniques for feature extraction, obstacle detection, colorization, and enhancement of point clouds.
- Integrate multi-sensor fusion using LiDAR, cameras, IMUs, and/or GPS for robust localization and mapping
- Bachelor's, Master's, or PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
- Strong background in Simultaneous Localization and Mapping (SLAM), including both LiDAR-based and vision-based SLAM.
- Experience with point cloud post-processing techniques, including noise filtering, downsampling, and surface reconstruction.
- Proficiency in high-density point cloud colorization using RGB-D cameras, multi-sensor fusion, or deep learning techniques.
- Experience with map generation techniques for robot navigation and environment reconstruction.
- Solid understanding of computer vision and image processing techniques.
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