Daniel Singh Cheema
Papers
1
Total Citations
4
H-Index
1
About
Dr. Daniel Singh Cheema is a researcher at the forefront of autonomous vehicle perception and multi-sensor fusion. His primary research focuses on the calibration and integration of heterogeneous sensors—particularly thermal cameras and LiDAR—to enhance environmental sensing in challenging conditions. Cheema’s most cited work, "Automatic Extrinsic Calibration of Thermal Camera and LiDAR for Vehicle Sensor Setups" (2023), addresses a critical bottleneck in autonomous systems: the precise spatial alignment of thermal and LiDAR data. This contribution is vital for robust perception in low-light, fog, or adverse weather where traditional cameras fail. By enabling automatic calibration without manual intervention, his method improves the reliability of sensor suites used in self-driving cars and advanced driver-assistance systems. Though early in his career, his work has already garnered attention, with citations from the robotics and automotive communities. Cheema’s research bridges the gap between thermal imaging and 3D point cloud data, paving the way for safer, more resilient autonomous navigation. His achievements mark him as an emerging leader in sensor fusion, with clear implications for real-world deployment in autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1