The prominent large language models (LLMs) of today differ from past language models not only in size, but also in the fact that they are trained on a combination of natural language …
Domain shifts such as sensor type changes and geographical situation variations are prevalent in Autonomous Driving (AD), which poses a challenge since AD model relying on …
X Dai, C Guo, Y Tang, H Li, Y Wang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Autonomous driving based on foundation models has recently garnered widespread attention. However, the risk of hallucinations inherent in foundation models could …
The emergence of Multimodal Large Language Models ((M) LLMs) has ushered in new avenues in artificial intelligence, particularly for autonomous driving by offering enhanced …
S Luo, W Chen, W Tian, R Liu, L Hou… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Foundation models have indeed made a profound impact on various fields, emerging as pivotal components that significantly shape the capabilities of intelligent systems. In the …
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …
Recent advancements in foundation models (FMs) have unlocked new prospects in autonomous driving, yet the experimental settings of these studies are preliminary, over …
Autonomous driving has advanced significantly due to sensors, machine learning, and artificial intelligence improvements. However, prevailing methods struggle with intricate …
H Zhang, W Zhang, H Qu, J Liu - arXiv preprint arXiv:2403.10107, 2024 - arxiv.org
Human-centered dynamic scene understanding plays a pivotal role in enhancing the capability of robotic and autonomous systems, in which Video-based Human-Object …