Zobrazeno 1 - 10
of 9 795
pro vyhledávání: '"A. Ivanovic"'
Emerging 3D geometric foundation models, such as DUSt3R, offer a promising approach for in-the-wild 3D vision tasks. However, due to the high-dimensional nature of the problem space and scarcity of high-quality 3D data, these pre-trained models still
Externí odkaz:
http://arxiv.org/abs/2412.07746
Autor:
Han, Xiangyu, Jia, Zhen, Li, Boyi, Wang, Yan, Ivanovic, Boris, You, Yurong, Liu, Lingjie, Wang, Yue, Pavone, Marco, Feng, Chen, Li, Yiming
Photorealistic simulators are essential for the training and evaluation of vision-centric autonomous vehicles (AVs). At their core is Novel View Synthesis (NVS), a crucial capability that generates diverse unseen viewpoints to accommodate the broad a
Externí odkaz:
http://arxiv.org/abs/2412.05256
Autor:
Zhang, Zhejun, Karkus, Peter, Igl, Maximilian, Ding, Wenhao, Chen, Yuxiao, Ivanovic, Boris, Pavone, Marco
Traffic simulation aims to learn a policy for traffic agents that, when unrolled in closed-loop, faithfully recovers the joint distribution of trajectories observed in the real world. Inspired by large language models, tokenized multi-agent policies
Externí odkaz:
http://arxiv.org/abs/2412.05334
Autor:
Fan, Zhiwen, Zhang, Jian, Cong, Wenyan, Wang, Peihao, Li, Renjie, Wen, Kairun, Zhou, Shijie, Kadambi, Achuta, Wang, Zhangyang, Xu, Danfei, Ivanovic, Boris, Pavone, Marco, Wang, Yue
Reconstructing and understanding 3D structures from a limited number of images is a well-established problem in computer vision. Traditional methods usually break this task into multiple subtasks, each requiring complex transformations between differ
Externí odkaz:
http://arxiv.org/abs/2410.18956
Autor:
Deglurkar, Sampada, Shen, Haotian, Muthali, Anish, Pavone, Marco, Margineantu, Dragos, Karkus, Peter, Ivanovic, Boris, Tomlin, Claire J.
We present a novel perspective on the design, use, and role of uncertainty measures for learned modules in an autonomous system. While in the current literature uncertainty measures are produced for standalone modules without considering the broader
Externí odkaz:
http://arxiv.org/abs/2410.12019
Autor:
Huang, Zhiyu, Weng, Xinshuo, Igl, Maximilian, Chen, Yuxiao, Cao, Yulong, Ivanovic, Boris, Pavone, Marco, Lv, Chen
Autonomous driving necessitates the ability to reason about future interactions between traffic agents and to make informed evaluations for planning. This paper introduces the \textit{Gen-Drive} framework, which shifts from the traditional prediction
Externí odkaz:
http://arxiv.org/abs/2410.05582
Effective environment perception is crucial for enabling downstream robotic applications. Individual robotic agents often face occlusion and limited visibility issues, whereas multi-agent systems can offer a more comprehensive mapping of the environm
Externí odkaz:
http://arxiv.org/abs/2409.20289
Autor:
Chakraborty, Kaustav, Feng, Zeyuan, Veer, Sushant, Sharma, Apoorva, Ivanovic, Boris, Pavone, Marco, Bansal, Somil
The safety-critical nature of autonomous vehicle (AV) operation necessitates development of task-relevant algorithms that can reason about safety at the system level and not just at the component level. To reason about the impact of a perception fail
Externí odkaz:
http://arxiv.org/abs/2409.17630
Autor:
Tan, Shuhan, Ivanovic, Boris, Chen, Yuxiao, Li, Boyi, Weng, Xinshuo, Cao, Yulong, Krähenbühl, Philipp, Pavone, Marco
Simulation stands as a cornerstone for safe and efficient autonomous driving development. At its core a simulation system ought to produce realistic, reactive, and controllable traffic patterns. In this paper, we propose ProSim, a multimodal promptab
Externí odkaz:
http://arxiv.org/abs/2409.05863
Autor:
Chen, Ziyu, Yang, Jiawei, Huang, Jiahui, de Lutio, Riccardo, Esturo, Janick Martinez, Ivanovic, Boris, Litany, Or, Gojcic, Zan, Fidler, Sanja, Pavone, Marco, Song, Li, Wang, Yue
We introduce OmniRe, a holistic approach for efficiently reconstructing high-fidelity dynamic urban scenes from on-device logs. Recent methods for modeling driving sequences using neural radiance fields or Gaussian Splatting have demonstrated the pot
Externí odkaz:
http://arxiv.org/abs/2408.16760