Zobrazeno 1 - 7
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pro vyhledávání: '"Gu, Junru"'
Autor:
Tian, Xiaoyu, Gu, Junru, Li, Bailin, Liu, Yicheng, Wang, Yang, Zhao, Zhiyong, Zhan, Kun, Jia, Peng, Lang, Xianpeng, Zhao, Hang
A primary hurdle of autonomous driving in urban environments is understanding complex and long-tail scenarios, such as challenging road conditions and delicate human behaviors. We introduce DriveVLM, an autonomous driving system leveraging Vision-Lan
Externí odkaz:
http://arxiv.org/abs/2402.12289
Predicting future behaviors of road agents is a key task in autonomous driving. While existing models have demonstrated great success in predicting marginal agent future behaviors, it remains a challenge to efficiently predict consistent joint behavi
Externí odkaz:
http://arxiv.org/abs/2208.04530
Perception and prediction are two separate modules in the existing autonomous driving systems. They interact with each other via hand-picked features such as agent bounding boxes and trajectories. Due to this separation, prediction, as a downstream m
Externí odkaz:
http://arxiv.org/abs/2208.01582
Predicting future motions of road participants is an important task for driving autonomously in urban scenes. Existing models excel at predicting marginal trajectories for single agents, yet it remains an open question to jointly predict scene compli
Externí odkaz:
http://arxiv.org/abs/2202.11884
Due to the stochasticity of human behaviors, predicting the future trajectories of road agents is challenging for autonomous driving. Recently, goal-based multi-trajectory prediction methods are proved to be effective, where they first score over-sam
Externí odkaz:
http://arxiv.org/abs/2108.09640
In autonomous driving, goal-based multi-trajectory prediction methods are proved to be effective recently, where they first score goal candidates, then select a final set of goals, and finally complete trajectories based on the selected goals. Howeve
Externí odkaz:
http://arxiv.org/abs/2106.14160
Publikováno v:
Geoenvironmental Disasters; 5/5/2022, Vol. 9 Issue 1, p1-11, 11p
