基于三维点云的汽车检测的参考文献

以下是一些基于三维点云的汽车检测相关的参考文献：

1. Chen, X., Kundu, K., Zhu, Y., Berneshawi, A. G., Ma, H., Fidler, S., & Urtasun, R. (2016). 3D object proposals for accurate object class detection. In Advances in neural information processing systems (pp. 424-432).

2. Liang, X., Zhou, X., & Koltun, V. (2016). 3D convolutional neural networks for efficient and robust hand pose estimation from single depth images. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 3366-3375).

3. Qi, C. R., Liu, W., Wu, C., Su, H., & Guibas, L. J. (2018). Frustum pointnets for 3d object detection from RGB-D data. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 918-927).

4. Shi, S., Wang, X., & Li, H. (2019). Pointrcnn: 3D object proposal generation and detection from point cloud. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 770-779).

5. Yan, Y., Mao, Y., & Li, B. (2018). Second: Sparsely embedded convolutional detection. Sensors, 18(10), 3337.

这些论文涵盖了不同的方法和技术，包括基于深度学习的方法和传统的机器学习方法。阅读这些文献可以帮助您更好地了解基于三维点云的汽车检测的最新研究动态和技术趋势。