| Autonomous aerial cinematography in unstructured environments with learned artistic decisionmaking R Bonatti, W Wang, C Ho, A Ahuja, M Gschwindt, E Camci, E Kayacan, ... Journal of Field Robotics 37 (4), 606-641, 2020 | 103 | 2020 |
| Towards a robust aerial cinematography platform: Localizing and tracking moving targets in unstructured environments R Bonatti, C Ho, W Wang, S Choudhury, S Scherer 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 100 | 2019 |
| 3D human reconstruction in the wild with collaborative aerial cameras C Ho, A Jong, H Freeman, R Rao, R Bonatti, S Scherer 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 22 | 2021 |
| Learning-on-the-Drive: Self-supervised Adaptation of Visual Offroad Traversability Models E Chen*, C Ho*, M Maulimov, C Wang, S Scherer 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 | 14 | 2023 |
| Predicting coordinated group movements of sharks with limited observations using AUVs C Ho, K Joly, AP Nosal, CG Lowe, CM Clark Proceedings of the Symposium on Applied Computing, 289-296, 2017 | 5 | 2017 |
| Adaptive safety margin estimation for safe real-time replanning under time-varying disturbance C Ho, J Patrikar, R Bonatti, S Scherer 2nd RSS Workshop on Robust Autonomy: Tools for Safety in Real-World Autonomy, 2021 | 4 | 2021 |
| Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping S Aich, W Wang, P Maheshwari, M Sivaprakasam, S Triest, C Ho, ... arXiv preprint arXiv:2403.11876, 2024 | 3 | 2024 |
| TartanDrive 1.5: Improving Large Multimodal Robotics Dataset Collection and Distribution M Sivaprakasam, S Triest, MG Castro, M Nye, M Maulimov, C Ho, ... ICRA2023 Workshop on Pretraining for Robotics (PT4R), 2023 | 2 | 2023 |
| “provably safe” in the wild: Testing control barrier functions on a vision-based quadrotor in an outdoor environment C Ho, K Shih, JS Grover, C Liu, S Scherer 2nd RSS Workshop on Robust Autonomy: Tools for Safety in Real-World …, 2020 | 2 | 2020 |
| Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public Data C Ho, J Zou, O Alama, SMJ Kumar, B Chiang, T Gupta, C Wang, N Keetha, ... Advances in Neural Information Processing Systems (NeurIPS) 2024, 2024 | 1 | 2024 |
| SALON: Self-supervised Adaptive Learning for Off-road Navigation M Sivaprakasam, S Triest, C Ho, S Aich, J Lew, I Adu, W Wang, S Scherer arXiv preprint arXiv:2412.07826, 2024 | | 2024 |
| Learning-on-the-Drive: Self-supervised Adaptive Long-range Perception for High-speed Offroad Driving E Chen, C Ho, M Maulimov, C Wang, S Scherer 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | | 2024 |
| MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions C Ho, S Kim, B Moon, A Parandekar, N Harutyunyan, C Wang, K Sycara, ... arXiv preprint arXiv:2409.15590, 2024 | | 2024 |
| Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets C Ho, J Zou, O Alama, S Mitheran, B Chiang, T Gupta, C Wang, ... The Thirty-eight Conference on Neural Information Processing Systems …, 0 | | |
Sebastian SchererAssociate Research Professor, Carnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
