Zobrazeno 1 - 10
of 390
pro vyhledávání: '"Scherer, Sebastian A."'
We propose the MAC-VO, a novel learning-based stereo VO that leverages the learned metrics-aware matching uncertainty for dual purposes: selecting keypoint and weighing the residual in pose graph optimization. Compared to traditional geometric method
Externí odkaz:
http://arxiv.org/abs/2409.09479
Autor:
Dhrafani, Devansh, Liu, Yifei, Jong, Andrew, Shin, Ukcheol, He, Yao, Harp, Tyler, Hu, Yaoyu, Oh, Jean, Scherer, Sebastian
Robust depth perception in visually-degraded environments is crucial for autonomous aerial systems. Thermal imaging cameras, which capture infrared radiation, are robust to visual degradation. However, due to lack of a large-scale dataset, the use of
Externí odkaz:
http://arxiv.org/abs/2409.07715
Autor:
Saba, Andrew, Adetunji, Aderotimi, Johnson, Adam, Kothari, Aadi, Sivaprakasam, Matthew, Spisak, Joshua, Bharatia, Prem, Chauhan, Arjun, Duff Jr., Brendan, Gasparro, Noah, King, Charles, Larkin, Ryan, Mao, Brian, Nye, Micah, Parashar, Anjali, Attias, Joseph, Balciunas, Aurimas, Brown, Austin, Chang, Chris, Gao, Ming, Heredia, Cindy, Keats, Andrew, Lavariega, Jose, Muckelroy III, William, Slavescu, Andre, Stathas, Nickolas, Suvarna, Nayana, Zhang, Chuan Tian, Scherer, Sebastian, Ramanan, Deva
Publikováno v:
Field Robotics Volume 4 (2024) 1-45
Autonomous motorsports aim to replicate the human racecar driver with software and sensors. As in traditional motorsports, Autonomous Racing Vehicles (ARVs) are pushed to their handling limits in multi-agent scenarios at extremely high ($\geq 150mph$
Externí odkaz:
http://arxiv.org/abs/2408.15425
Autor:
Navarro, Ingrid, Ortega-Kral, Pablo, Patrikar, Jay, Wang, Haichuan, Ye, Zelin, Park, Jong Hoon, Oh, Jean, Scherer, Sebastian
The growing demand for air travel requires technological advancements in air traffic management as well as mechanisms for monitoring and ensuring safe and efficient operations. In terminal airspaces, predictive models of future movements and traffic
Externí odkaz:
http://arxiv.org/abs/2407.21185
Autor:
Ho, Cherie, Zou, Jiaye, Alama, Omar, Kumar, Sai Mitheran Jagadesh, Chiang, Benjamin, Gupta, Taneesh, Wang, Chen, Keetha, Nikhil, Sycara, Katia, Scherer, Sebastian
Top-down Bird's Eye View (BEV) maps are a popular representation for ground robot navigation due to their richness and flexibility for downstream tasks. While recent methods have shown promise for predicting BEV maps from First-Person View (FPV) imag
Externí odkaz:
http://arxiv.org/abs/2407.08726
Traversability estimation in rugged, unstructured environments remains a challenging problem in field robotics. Often, the need for precise, accurate traversability estimation is in direct opposition to the limited sensing and compute capability pres
Externí odkaz:
http://arxiv.org/abs/2407.08720
Autor:
Guo, Xiaofeng, He, Guanqi, Xu, Jiahe, Mousaei, Mohammadreza, Geng, Junyi, Scherer, Sebastian, Shi, Guanya
Aerial manipulation has gained interest in completing high-altitude tasks that are challenging for human workers, such as contact inspection and defect detection, etc. Previous research has focused on maintaining static contact points or forces. This
Externí odkaz:
http://arxiv.org/abs/2407.05587
Uncrewed Aerial Vehicles (UAVs) are a leading choice of platforms for a variety of information-gathering applications. Sensor planning can enhance the efficiency and success of these types of missions when coupled with a higher-level informative path
Externí odkaz:
http://arxiv.org/abs/2407.04896
Autor:
Park, Jong Hoon, Chen, Lawrence, Higgins, Ian, Zheng, Zhaobo, Mehrotra, Shashank, Salubre, Kevin, Mousaei, Mohammadreza, Willits, Steven, Levedahl, Blain, Buker, Timothy, Xing, Eliot, Misu, Teruhisa, Scherer, Sebastian, Oh, Jean
Vertical take-off and landing (VTOL) aircraft do not require a prolonged runway, thus allowing them to land almost anywhere. In recent years, their flexibility has made them popular in development, research, and operation. When compared to traditiona
Externí odkaz:
http://arxiv.org/abs/2406.06448
The problem of path planning for autonomously searching and tracking multiple objects is important to reconnaissance, surveillance, and many other data-gathering applications. Due to the inherent competing objectives of searching for new objects whil
Externí odkaz:
http://arxiv.org/abs/2405.15997