3 citations · 7 across the 9 of their papers we have counts for
5 papers · 1 filter
Industry 6.0: New Generation of Industry driven by Generative AI and Swarm of Heterogeneous Robots
Artem Lykov, Miguel Altamirano Cabrera, Mikhail Konenkov +8
This paper presents the concept of Industry 6.0, introducing the world's first fully automated production system that autonomously handles the entire product design and manufacturi…
METDrive: Multi-modal End-to-end Autonomous Driving with Temporal Guidance
Ziang Guo, Xinhao Lin, Zakhar Yagudin +4
Multi-modal end-to-end autonomous driving has shown promising advancements in recent work. By embedding more modalities into end-to-end networks, the system's understanding of both…
FADet: A Multi-sensor 3D Object Detection Network based on Local Featured Attention
Ziang Guo, Zakhar Yagudin, Selamawit Asfaw +2
Camera, LiDAR and radar are common perception sensors for autonomous driving tasks. Robust prediction of 3D object detection is optimally based on the fusion of these sensors. To e…
HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night Scene
Ziang Guo, Stepan Perminov, Mikhail Konenkov +1
Many established vision perception systems for autonomous driving scenarios ignore the influence of light conditions, one of the key elements for driving safety. To address this pr…
VLM-Auto: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes
Ziang Guo, Zakhar Yagudin, Artem Lykov +2
Recent research on Large Language Models for autonomous driving shows promise in planning and control. However, high computational demands and hallucinations still challenge accura…