activity
20232025
most citedTowards Knowledge-driven Autonomous Driving

11 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

O-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering

Jianbiao Mei, Tao Hu, Daocheng Fu +11

Large Language Models (LLMs), despite their advancements, are fundamentally limited by their static parametric knowledge, hindering performance on tasks requiring open-domain up-to…

cs.CV2024★ 1 cited

OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving

Guohang Yan, Jiahao Pi, Jianfei Guo +14

With deep learning and computer vision technology development, autonomous driving provides new solutions to improve traffic safety and efficiency. The importance of building high-q…

cs.RO2023★ 11 cited

Towards Knowledge-driven Autonomous Driving

Xin Li, Yeqi Bai, Pinlong Cai +14

This paper explores the emerging knowledge-driven autonomous driving technologies. Our investigation highlights the limitations of current autonomous driving systems, in particular…

cs.RO2023

Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator

Donglin Yang, Zhenfeng Liu, Wentao Jiang +5

Employing data augmentation methods to enhance perception performance in adverse weather has attracted considerable attention recently. Most of the LiDAR augmentation methods post-…

cs.RO2023★ 1 cited

SceneDM: Scene-level Multi-agent Trajectory Generation with Consistent Diffusion Models

Zhiming Guo, Xing Gao, Jianlan Zhou +2

Realistic scene-level multi-agent motion simulations are crucial for developing and evaluating self-driving algorithms. However, most existing works focus on generating trajectorie…