3 citations · 4 across the 4 of their papers we have counts for
5 papers
Language2Drive: Do Vision-Language-Action Models Really Follow the Instructions in Autonomous Driving?
Zihan You, Zehua Fan, Wenqi Lyu +19
Recent Vision-Language-Action (VLA) models increasingly use natural-language instructions to condition autonomous driving behavior. Yet existing closed-loop benchmarks primarily me…
Hybrid guided variational autoencoder for visual place recognition
Ni Wang, Zihan You, Emre Neftci +1
Autonomous agents such as cars, robots and drones need to precisely localize themselves in diverse environments, including in GPS-denied indoor environments. One approach for preci…
Embodied Intelligence: The Key to Unblocking Generalized Artificial Intelligence
Jinhao Jiang, Changlin Chen, Shile Feng +6
The ultimate goal of artificial intelligence (AI) is to achieve Artificial General Intelligence (AGI). Embodied Artificial Intelligence (EAI), which involves intelligent systems wi…
Towards bio-inspired unsupervised representation learning for indoor aerial navigation
Ni Wang, Ozan Catal, Tim Verbelen +2
Aerial navigation in GPS-denied, indoor environments, is still an open challenge. Drones can perceive the environment from a richer set of viewpoints, while having more stringent c…
Unsupervised Classification of Street Architectures Based on InfoGAN
Ning Wang, Xianhan Zeng, Renjie Xie +5
Street architectures play an essential role in city image and streetscape analysing. However, existing approaches are all supervised which require costly labeled data. To solve thi…