SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving.
CoRR, 2024
LidarCLIP or: How I Learned to Talk to Point Clouds.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
NeuRAD: Neural Rendering for Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Deep Learning for Model-Based Multiobject Tracking.
IEEE Trans. Aerosp. Electron. Syst., December, 2023
Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing.
CoRR, 2023
Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds.
CoRR, 2022
Can Deep Learning be Applied to Model-Based Multi-Object Tracking?
CoRR, 2022
Object Detection as Probabilistic Set Prediction.
Proceedings of the Computer Vision - ECCV 2022, 2022
Deep Deterministic Path Following.
CoRR, 2021
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021
Trajectory Generation for Mobile Robots in a Dynamic Environment using Nonlinear Model Predictive Control.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021