16 citations · 16 across the 3 of their papers we have counts for
4 papers
Spatial-aware Vision Language Model for Autonomous Driving
Weijie Wei, Zhipeng Luo, Ling Feng +1
While Vision-Language Models (VLMs) show significant promise for end-to-end autonomous driving by leveraging the common sense embedded in language models, their reliance on 2D imag…
nuScenes Revisited: Progress and Challenges in Autonomous Driving
Whye Kit Fong, Venice Erin Liong, Kok Seang Tan +1
Autonomous Vehicles (AV) and Advanced Driver Assistance Systems (ADAS) have been revolutionized by Deep Learning. As a data-driven approach, Deep Learning relies on vast amounts of…
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
Venice Erin Liong, Thi Ngoc Tho Nguyen, Sergi Widjaja +2
In this paper, we present an Assertion-based Multi-View Fusion network (AMVNet) for LiDAR semantic segmentation which aggregates the semantic features of individual projection-base…
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H. Lang +7
Robust detection and tracking of objects is crucial for the deployment of autonomous vehicle technology. Image based benchmark datasets have driven development in computer vision t…