Improving 3D Object Detection for Autonomous Driving – A Case Study of Data-Driven Development

Author:

Hartmannsgruber Andreas,Pinke Christopher,Jing Chen,Pangottil Shanoop,Grewe Ralph,Strauss Matthias,Mottok Jürgen,Rojas Raúl

Publisher

Springer Fachmedien Wiesbaden

Reference38 articles.

1. Continental Press Release, 2024/01/05: Continental and Aurora Finalize Design of World’s First Scalable Autonomous Trucking System, https://www.continental.com/en/press/pressreleases/20240105-aurora-milestone/, last accessed 2024/02/15.

2. Pinke, C., Hohm, A., Grießer, M.: Industrialized technology building blocks for on-demand autonomous shuttles in urban and sub-urban use cases enabling mass-market scales, affordability, automotive reliability and safety. In: ITS World Congress (2021).

3. Shen, L., Li, J., Lee, C. D. W., Lee, M. Y., Hartmannsgruber, A. Ang Jr, M. H.: ARC-BEV: Attentive Radar-Camera fusion 3d object detection in Bird-Eye-View space for autonomous driving. In: Proceedings of the International Symposium on Experimental Robotics (2023).

4. Kang, Q., She, R., Wang, S., Tay, W. P., Navarro Navarro, D., Hartmannsgruber, A.: Location Learning for AVs: LiDAR and Image Landmarks Fusion Localization with Graph Neural Networks. In: Proceedings of the IEEE Conference on Intelligent Transportation Systems (2022).

5. She, R., Kang, Q., Wang, S., Tay, W. P. Guan, Y. L., Navarro Navarro, D. , Hartmannsgruber, A.: Image Patch-Matching with Graph-Based Learning in Street Scenes. In: IEEE Transactions on Image Processing, Volume: 32, 3465-3480 (2023).

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