Key Publications & Resources
Project Documentation
- Kozonits, M. (2025). Evaluating current CycleSafely pipeline performance and optimizing it - Bachelor's thesis on pipeline optimization
- Hoffer-Tóth, C. (2024). CycleSafely on Mobile - Mobile deployment and optimization
- Pointner, S. CycleSafely Project Overview - General pipeline presentation
Datasets
- KITTI Vision Benchmark Suite - Geiger, A., Lenz, P., & Urtasun, R. (2012)
- Waymo Open Dataset - Waymo (2019)
- Argoverse 2 - Wilson, B. et al. (2021) - Next Generation Datasets for Self-driving
- CARLA Simulator - Dosovitskiy, A. et al. (2017) - Open Urban Driving Simulator
Key Technologies & Methods
- SFA3D - Nguyen, M. D. (2020) - Super Fast and Accurate 3D Object Detection
- 3D Multi-Object Tracker - Wu, H. et al. (2021) - Prediction confidence-guided data association
- MANTRA - Marchetti, F. (2020) - Memory augmented networks for trajectory prediction
- RangeNet++ - Milioto, A. et al. (2019) - Fast and Accurate LiDAR Semantic Segmentation
Related Research
- Zhou, Y., & Tuzel, O. (2018). VoxelNet: End-to-end learning for point cloud based 3D object detection
- Shi, S., Wang, X., & Li, H. (2019). PointRCNN: 3D object proposal generation and detection from point cloud
- Li, P. et al. (2020). RTM3D: Real-time monocular 3D detection from object keypoints for autonomous driving
- Gupta, A. et al. (2018). Social GAN: Socially acceptable trajectories with generative adversarial networks
- Lee, N. et al. (2017). DESIRE: Distant future prediction in dynamic scenes with interacting agents
- Gu, J., Sun, C., & Zhao, H. (2021). DenseTNT: End-to-end trajectory prediction from dense goal sets