Jixin Lv
Papers
10
Total Citations
103
H-Index
6
About
Jixin Lv’s research centers on autonomous mobile robot navigation, with a focus on simultaneous localization and mapping (SLAM), sensor data processing, and multi-robot coordination in indoor environments. His most influential work, “Algorithms and a Framework for Indoor Robot Mapping in a Noisy Environment Using Clustering in Spatial and Hough Domains” (34 citations), introduced robust 2D line map generation from laser range data, tackling the challenge of cluttered, noisy settings. Lv advanced SLAM by employing straight line segments as geometric features in EKF-SLAM (18 citations), and developed methods for slope and edge detection using orthogonal assumptions (10 and 9 citations), enhancing robot traversability and safety. His contributions extend to multi-robot systems with an intelligent docking station manager (14 citations) and energy-efficient wireless sensor networks via vision-based adaptive transmission power control (8 citations). Lv also explored adaptive visual servoing for nonholonomic robots and scan matching algorithms using incident angles to improve rotation estimation. With over 100 total citations, his work provides practical frameworks for reliable robot mapping, navigation, and coordination, making significant strides toward deploying service robots in real-world indoor environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Straight Line Segments Extraction and EKF-SLAM in Indoor Environment18 citations · 2014
- 3An intelligent docking station manager for multiple mobile service robots14 citations · 2015
- 4
- 5Slope detection based on orthogonal assumption9 citations · 2012
- 6
- 7
- 8Planar scan matching using incident angle3 citations · 2017
- 9
- 10