Sanjay Lote
Papers
1
Total Citations
3
H-Index
1
About
Sanjay Lote is a robotics researcher focused on autonomous navigation and perception systems, with particular expertise in developing cost-effective solutions for self-driving vehicles. His most-cited work, "Real-time localisation and path-planning in ackermann steering robot using a single RGB camera and 2D LIDAR" (2017), addresses a critical challenge in autonomous driving: enabling reliable real-time localization and path planning using minimal, affordable sensors. By fusing data from a single RGB camera with 2D LIDAR, Lote demonstrated that accurate navigation is achievable without expensive multi-sensor arrays, making autonomous technology more accessible for rapid prototyping and educational platforms. This contribution directly tackles the dual problems of road accidents caused by human error and traffic-related pollution, aligning with the broader push toward safer, more efficient transportation. While his citation count is modest—reflecting early-stage or niche impact—his work has practical significance for researchers and hobbyists building low-cost autonomous robots. Lote’s approach exemplifies how clever sensor fusion can democratize autonomous navigation, offering a blueprint for scalable, real-world deployment in ackermann-steering vehicles.
Research Focus
Key Achievements
Top Papers
- 1