Zobrazeno 1 - 10
of 1 837
pro vyhledávání: '"Manivasagam"'
Publikováno v:
Journal of the Indian Academy of Echocardiography & Cardiovascular Imaging, Vol 7, Iss 2, Pp 121-127 (2023)
Two-dimensional strain imaging has an established role in the detection of subtle or subclinical left ventricular (LV) dysfunction in cardiomyopathies. The application of strain imaging, particularly longitudinal strain (LS), is emerging as a simple
Externí odkaz:
https://doaj.org/article/7b482ec3572744509c5ecb0ee55062a1
Publikováno v:
E3S Web of Conferences, Vol 540, p 02005 (2024)
DTC, also known as Direct Torque Control, is a technique employed in variable frequency drives for regulating the torque and speed of three-phase AC electric motors. This method entails determining an approximation of the motor’s magnetic flux and
Externí odkaz:
https://doaj.org/article/c71b20adcbcc42ef9b791f22a41fc104
Publikováno v:
Journal of ICT Research and Applications, Vol 17, Iss 1 (2023)
One of the most critical tasks in Vehicular Ad-hoc Networks (VANETs) is broadcasting Emergency Messages (EMs) at considerable data delivery rates (DDRs). The enhanced spider-web-like Transmission Mechanism for Emergency Data (TMED) is based on reques
Externí odkaz:
https://doaj.org/article/5899e28e705640d49ba2368eb9efc0f9
Large scale 3D scene reconstruction is important for applications such as virtual reality and simulation. Existing neural rendering approaches (e.g., NeRF, 3DGS) have achieved realistic reconstructions on large scenes, but optimize per scene, which i
Externí odkaz:
http://arxiv.org/abs/2409.19405
Autor:
Yang, Ze, Chen, George, Zhang, Haowei, Ta, Kevin, Bârsan, Ioan Andrei, Murphy, Daniel, Manivasagam, Sivabalan, Urtasun, Raquel
Self-driving vehicles (SDVs) require accurate calibration of LiDARs and cameras to fuse sensor data accurately for autonomy. Traditional calibration methods typically leverage fiducials captured in a controlled and structured scene and compute corres
Externí odkaz:
http://arxiv.org/abs/2409.18953
Autor:
Pun, Ava, Sun, Gary, Wang, Jingkang, Chen, Yun, Yang, Ze, Manivasagam, Sivabalan, Ma, Wei-Chiu, Urtasun, Raquel
Different outdoor illumination conditions drastically alter the appearance of urban scenes, and they can harm the performance of image-based robot perception systems if not seen during training. Camera simulation provides a cost-effective solution to
Externí odkaz:
http://arxiv.org/abs/2312.06654
Autor:
Liu, Jeffrey Yunfan, Chen, Yun, Yang, Ze, Wang, Jingkang, Manivasagam, Sivabalan, Urtasun, Raquel
We propose a new method for realistic real-time novel-view synthesis (NVS) of large scenes. Existing neural rendering methods generate realistic results, but primarily work for small scale scenes (<50 square meters) and have difficulty at large scale
Externí odkaz:
http://arxiv.org/abs/2311.05607
Reconstructing objects from real world data and rendering them at novel views is critical to bringing realism, diversity and scale to simulation for robotics training and testing. In this work, we present NeuSim, a novel approach that estimates accur
Externí odkaz:
http://arxiv.org/abs/2311.05602
Autor:
Wang, Jingkang, Manivasagam, Sivabalan, Chen, Yun, Yang, Ze, Bârsan, Ioan Andrei, Yang, Anqi Joyce, Ma, Wei-Chiu, Urtasun, Raquel
Realistic simulation is key to enabling safe and scalable development of % self-driving vehicles. A core component is simulating the sensors so that the entire autonomy system can be tested in simulation. Sensor simulation involves modeling traffic p
Externí odkaz:
http://arxiv.org/abs/2311.01447
Self-driving vehicles (SDVs) must be rigorously tested on a wide range of scenarios to ensure safe deployment. The industry typically relies on closed-loop simulation to evaluate how the SDV interacts on a corpus of synthetic and real scenarios and v
Externí odkaz:
http://arxiv.org/abs/2311.01446