TOP
Our 3D LiDAR-based environmental modeling precisely perceives outdoor elements—including complex terrain, structures, and ramps—providing highly stable localization and a robust navigation foundation even in massive-scale environments.
By detecting and tracking dynamic obstacles such as pedestrians, vehicles, and moving objects in real-time, we implement safe and flexible autonomous navigation that responds instantaneously to unpredictable environmental changes.
We unify fragmented maps—across zones, floors, and indoor/outdoor boundaries—into a single continuous navigation space. This enables seamless autonomy through elevator interfacing, multi-floor transitions, and cross-domain movement without interruption.
・Scalable Mapping: Capable of real-time mapping for massive areas exceeding 660,000 $m^2$ (200,000 pyeong). This technology is already deployed in various outdoor robot services, including apartment complexes and university campus patrols.
・Precision Localization: By utilizing 3D LiDAR-based environment modeling and sensor-fusion SLAM technology, we provide precise localization even in complex and dynamic environments.
・Environmental Robustness: We ensure stable positioning performance against environmental changes through advanced post-processing—considering dynamic obstacles and variable elements like flooring, vehicles, and vegetation—and real-time matching of LiDAR data with high-definition (HD) maps.
・Proven Reliability: Navifra’s SLAM technology, which includes slip compensation and dynamic environment adaptation, is a core autonomous driving solution verified in real-world industrial and urban settings.
・3D Scene Understanding: Navifra’s 3D-based environment recognition technology ensures stable autonomous driving even in rapidly changing industrial sites.
・Real-time Path Planning: Based on multi-object recognition and robot-specific 3D obstacle mapping, we generate optimized navigation paths for the site in real time.
・Advanced Maneuverability: By generating shortest/optimal paths considering dynamic obstacles and the robot’s kinematic constraints, and utilizing smooth lane-avoidance technology that accounts for vehicle dynamics, we achieve fast and safe autonomous navigation in complex industrial environments.
・Unified Navigation Space: We connect fragmented spaces, multiple floors, and indoor/outdoor environments into a single, seamless navigation zone.
・Continuous Autonomy: In addition to moving between floors via elevator integration, robots can maintain continuous autonomous driving without localization drops during zone transitions.
・Versatile Application: This enables complete autonomous mobility across complex buildings, large-scale facilities, campuses, and entire residential complexes.
나비프라 ('www.navifra.com'이하 'navifra')은(는) 「개인정보 보호법」 제30조에 따라 정보주체의 개인정보를 보호하고 이와 관련한 고충을 신속하고 원활하게 처리할 수 있도록 하기 위하여 다음과 같이 개인정보 처리방침을 수립·공개합니다.
