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5+ years of expertise in designing systems for Vision, Radar, Lidar, and other sensor-based functions. Take charge of the architectural design and validation process for ADAS systems. 5+ years of expertise in designing systems for Vision, Radar, Lidar, and other sensor-based functions.
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Geospatial Solutions, Terrestrial LiDAR, 3D Scanning, Structural Design, Project Management, Community Involvement, Right of Way, and Environmental Compliance, we perform work in some of the most beautiful locations; National Forests, National Parks and Monuments, campgrounds and other recreational facilities, and other federal lands throughout the United States.
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Hands-on experience in the business of Advanced Driver Assistance Systems (ADAS) and sensors, with a focus on camera, radar, and Lidar technologies. Hands-on experience in the business of Advanced Driver Assistance Systems (ADAS) and sensors, with a focus on camera, radar, and Lidar technologies.
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Nice to have:Experience with data / sensor driven experiences like Lidar, mobile, AR/VR, IoT, or similar. Knowledge in 3D tools such as Blender, Houdini, CAD, Unreal Engine, Unity, or similar software.
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You will use your technical expertise and experience of Processing Exploitation and Dissemination (PED) of remotely sensed data such as Hyper/Multi-Spectral Imagery (HSI/MSI), Thermal/Infrared Imagery, Electro-Optical Imagery, Synthetic Aperture RADAR (SAR), and Light Detection and Ranging (LiDAR) to support the operational customer.
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Experience with a variety of unmanned aerial systems (UAS) for geospatial data collection (e.g., LIDAR, imagery, etc.) Experience in geospatial data collection, processing and analysis, including LIDAR and photogrammetry.
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Working on Visual SLAM and LIDAR Slam. Working on Visual SLAM and LIDAR Slam. Create and implement Machine Learning and Computer Vision models, using SLAM based tools and modelling systems. This is an exciting new opportunity for a Computer Vision Engineer (SLAM modelling) expert to join a DeepTech start-up.
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Ability to obtain DataMaster and RADAR/LIDAR Certifications. Certification from the South Carolina Criminal Justice Academy or another state's law enforcement training academy, B.L.E.T. or P.O.S.T. required.
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Provide analyses of targets of interest utilizing various platforms and not just FMV. Provide exploitation of multi-spectral, Hyperspectral, Infra-Red (IR), Synthetic Aperture Radar (SAR), and LiDAR imagery.
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Advanced sensing domain experience (e.g., EO/IR, ESM, EA, EW, LIDAR) Advanced sensing domain experience (e.g., EO/IR, ESM, EA, EW, LIDAR) Communications, sensors, and effector domain expertise in one or more of Radar, EO/IR, RF, and EW systems.
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Programming and software design skills- Experience with vision sensors such as lidar, radar, cameras, etc. programming and software design skills- Experience with vision sensors such as lidar, radar, cameras, etc.
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Implement sensor fusion techniques to integrate data from multiple sensors such as GNSS, IMU, LIDAR, radar, sonar and cameras to enhance the accuracy and robustness of vehicle navigation where applicable.
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Applicants should have clearly demonstrated commitment to teaching and mentoring students on a range of topics related to natural resource measurements, such as biostatistics, LiDAR and other new digital tools, and assessment of ecosystem services.
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This laser scanner system is an almost 3-D LIDAR system that is capable to measure tunnel cross-sections to provide clearance analysis of any intrusions, Station edges and Car door gaps. This laser scanner system is an almost 3-D LIDAR system that is capable to measure tunnel cross-sections to provide clearance analysis of any intrusions, Station edges and Car door gaps.
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Experience with SQL server databases, Linux, Google Sheets, digital video, SONAR, and LiDAR data collection is a plus. · Collect field and organization data across several different equipment platforms utilizing a variety of different sensor types including video, LiDAR, SONAR, and gyroscopic.
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