Jim Hollinger

Papers

Total Citations

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About

Jim Hollinger is a researcher whose work sits at the intersection of autonomous navigation, sensor fusion, and environmental perception for ground vehicle robotics. His primary research areas include the integration of LiDAR and radar systems for object detection, the resolution of layered or partially obscured objects, and the standoff detection of roadside hazards. Hollinger’s most notable contribution is his 2015 paper, “Fusion of lidar and radar for detection of partially obscured objects,” which has garnered 23 citations. This work addresses a critical challenge in robotics: enabling automated systems to detect objects hidden behind visual obstructions, such as foliage or debris, by combining the complementary strengths of LiDAR’s spatial resolution and radar’s penetrative capability. His subsequent studies, including “Resolving ranges of layered objects using ground vehicle LiDAR” (6 citations) and “Ground vehicle based LADAR for standoff detection of road-side hazards” (3 citations), further explore the nuances of depth perception in complex environments. While his citation counts are modest, Hollinger’s work is foundational for advancing autonomous navigation in unstructured settings, with implications for military, agricultural, and disaster-response robotics. His focus on sensor fusion and layered-object resolution highlights his commitment to making ground vehicles safer and more perceptive in real-world scenarios.