Gaurav Pandey

University of Michigan–Ann Arbor, Ford Motor Company (United States)

Papers

Total Citations

164

H-Index

About

Gaurav Pandey is a leading researcher in autonomous systems, specializing in sensor fusion, 3D perception, and deep learning for mobile robotics. His seminal work on "Extrinsic Calibration of a 3D Laser Scanner and an Omnidirectional Camera" (144 citations) established foundational techniques for aligning LiDAR and camera data, enabling precise environmental mapping critical for self-driving vehicles. Pandey advanced this field with "Motion Guided LiDAR-Camera Self-calibration and Accelerated Depth Upsampling for Autonomous Vehicles" (7 citations), addressing real-time calibration challenges and depth enhancement for robust perception. He also pioneered efficient deep learning approaches in "Convolutional Neural Network Based Sensors for Mobile Robot Relocalization" (13 citations), demonstrating that compact CNN architectures can achieve accurate camera pose prediction without heavy computational overhead—a breakthrough for resource-constrained mobile robots. His work bridges theoretical rigor and practical deployment, directly impacting autonomous navigation and sensor integration. With over 160 cumulative citations, Pandey’s contributions continue to shape how robots perceive and interact with dynamic environments, making him a key figure in advancing real-world autonomy.