A Normal Distribution Transform-Based Radar Odometry Designed For Scanning and Automotive Radars. - Pou-Chun Kung; Chieh-Chih Wang; Wen-Chieh Lin (ICRA, 2021)

Radar Occupancy Prediction With Lidar Supervision While Preserving Long-Range Sensing and Penetrating Capabilities. - Pou-Chun Kung; Chieh-Chih Wang; Wen-Chieh Lin (IEEE Robotics Autom. Lett., 2022)

LONER: LiDAR Only Neural Representations for Real-Time SLAM. - Seth Isaacson; Pou-Chun Kung; Mani Ramanagopal; Ram Vasudevan; Katherine A. Skinner (IEEE Robotics Autom. Lett., 2023)

SAD-GS: Shape-aligned Depth-supervised Gaussian Splatting. - Pou-Chun Kung; Seth Isaacson; Ram Vasudevan; Katherine A. Skinner (CVPR Workshops, 2024)

LiHi-GS: LiDAR-Supervised Gaussian Splatting for Highway Driving Scene Reconstruction. - Pou-Chun Kung; Xianling Zhang; Katherine A. Skinner; Nikita Jaipuria (CoRR, 2024)

SonarSplat: Novel View Synthesis of Imaging Sonar via Gaussian Splatting. - Advaith Venkatramanan Sethuraman; Max Rucker; Onur Bagoren; Pou-Chun Kung; Nibarkavi N. B. Amutha; Katherine A. Skinner (CoRR, 2025)

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes. - Pou-Chun Kung; Skanda Harisha; Ram Vasudevan; Aline Eid; Katherine A. Skinner (CoRR, 2025)