Dec 21, 2023 · We instantiate datasets (DriveLM-Data) built upon nuScenes and CARLA, and propose a VLM-based baseline approach (DriveLM-Agent) for jointly performing Graph VQA and end-to-end driving.

Nov 29, 2024 · We study how vision-language models (VLMs) trained on web-scale data can be integrated into end-to-end driving systems to boost generalization and enable interactivity with human users. While recent approaches adapt VLMs to driving via single-round visual question answering (VQA), human drivers reason about decisions in multiple steps.

In this paper, we utilize scene graphs to encode the semantics of driving scenarios and propose a spatio-temporal visual analytics system to support scenario comprehension. The system provides a multi-level visualization of autonomous driving scenarios, including single-frame semantics, time-varying visual summaries, and scenario distribution.

Mar 25, 2024 · This article delves into various visualization approaches, including spatial–temporal mapping, interactive dashboards, and machine learning-driven analytics, tailored specifically for autonomous driving scenarios.

We instantiate datasets (DriveLM-Data) built upon nuScenes and CARLA, and propose a VLM-based baseline approach (DriveLM-Agent) for jointly performing Graph VQA and end-to-end driving.

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Apr 15, 2025 · With the continuous advancement of smart car and vehicle display technologies, liquid crystal display (LCD) dashboards have become the mainstream medium for displaying driving information. This makes the reading performance and user research of LCD vehicle dashboards critically important. In this study, we aim to evaluate the impact of the human-machine interface (HMI) design of vehicle LCD ...

The Geant4 Visualisation System is a multi-driver graphics system designed to serve the Geant4 Simulation Toolkit. It is aimed at the visualization of Geant4 data, primarily detector descriptions and simulated particle trajectories and hits. It can handle a variety of graphical technologies simultaneously and interchangeably,

Nov 15, 2023 · Efficient Graph Generation for Optimized Driver-Rider Pairing. The code defines a function generate_graph to create a bipartite graph representing a ride-sharing network, mapping drivers to...

In VisuAlgo, you can use your own input for any algorithm instead of using only the provided sample inputs. This is one of the key feature of VisuAlgo. Try the graph drawing feature in these 9 graph-related visualizations: Graph DS, DFS/BFS, MST, SSSP, Max Flow, Matching, MVC, Steiner Tree, and TSP.