Near-Range Environmental Perception for Inland Waterway Vessels: A Comparative Study of LiDAR and Automotive FMCW RADAR Sensors
R. Herrmann (1), S. Bose (1), I. Filip (2), D. Medina (2), R. Ziebold, (2), S. Gehrig (3), T. Lenhard (3), M. Gardill (1) ((1) Electronic Systems, and Sensors, BTU Cottbus-Senftenberg, (2) Nautical Systems, Institut of, Communications, Navigation German Aerospace Center (DLR)

TL;DR
This study evaluates and compares the effectiveness of automotive FMCW RADAR sensors and LiDAR sensors for near-range environmental perception in inland waterway vessels, focusing on their suitability for automation and safety in all weather conditions.
Contribution
The paper presents a comparative analysis of FMCW RADAR and LiDAR sensors for inland waterway vessel perception, highlighting RADAR's advantages in adverse weather and close-range detection.
Findings
RADAR sensors effectively detect close-range static features in inland waters.
LiDAR performance degrades significantly in poor visibility conditions.
FMCW RADAR sensors are suitable for near-range perception in autonomous waterway navigation.
Abstract
Advancing towards high automation and autonomous operations is crucial for the future of inland waterway transport (IWT) systems. These systems necessitate robust and precise onboard sensory technologies that can perceive the environment under all weather conditions, including static features for local positioning techniques such as Simultaneous Localization and Mapping (SLAM). Traditional marine RADAR, mandatory on vessels and operating in the 9300-9500 MHz frequency band, can cover ranges from 15 to 1200 meters but are inadequate for detecting closer objects, making them unsuitable for automated docking maneuvers, lock entry, or bridge undercrossings. This necessitates the development of reliable close-range sensor technology that functions effectively in all weather conditions. In present research works on vessel automation, LiDAR sensors, operating in the nearinfrared range, are…
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Taxonomy
TopicsOil Spill Detection and Mitigation · Remote Sensing and LiDAR Applications · Water Quality Monitoring and Analysis
