SpaRC-AD: A Baseline for Radar-Camera Fusion in End-to-End Autonomous Driving
Fuente:
arXiv
Saved in:
| Main Authors: | Wolters, Philipp, Gilg, Johannes, Teepe, Torben, Rigoll, Gerhard |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SpaRC: Sparse Radar-Camera Fusion for 3D Object Detection
by: Wolters, Philipp, et al.
Published: (2024)
by: Wolters, Philipp, et al.
Published: (2024)
Spatial-Temporal Multi-Cuts for Online Multiple-Camera Vehicle Tracking
by: Herzog, Fabian, et al.
Published: (2024)
by: Herzog, Fabian, et al.
Published: (2024)
Lifting Multi-View Detection and Tracking to the Bird's Eye View
by: Teepe, Torben, et al.
Published: (2024)
by: Teepe, Torben, et al.
Published: (2024)
Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception
by: Wolters, Philipp, et al.
Published: (2024)
by: Wolters, Philipp, et al.
Published: (2024)
ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
by: Zheng, Zhiyu, et al.
Published: (2025)
by: Zheng, Zhiyu, et al.
Published: (2025)
SUPER-AD: Semantic Uncertainty-aware Planning for End-to-End Robust Autonomous Driving
by: Ryu, Wonjeong, et al.
Published: (2025)
by: Ryu, Wonjeong, et al.
Published: (2025)
GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving
by: Liu, Shuai, et al.
Published: (2025)
by: Liu, Shuai, et al.
Published: (2025)
RS2AD: End-to-End Autonomous Driving Data Generation from Roadside Sensor Observations
by: Xing, Ruidan, et al.
Published: (2025)
by: Xing, Ruidan, et al.
Published: (2025)
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving
by: Lu, Han, et al.
Published: (2024)
by: Lu, Han, et al.
Published: (2024)
GMF-Drive: Gated Mamba Fusion with Spatial-Aware BEV Representation for End-to-End Autonomous Driving
by: Wang, Jian, et al.
Published: (2025)
by: Wang, Jian, et al.
Published: (2025)
GaussianAD: Gaussian-Centric End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024)
by: Zheng, Wenzhao, et al.
Published: (2024)
Exploring the Causality of End-to-End Autonomous Driving
by: Li, Jiankun, et al.
Published: (2024)
by: Li, Jiankun, et al.
Published: (2024)
DriveSafer: End-to-End Autonomous Driving with Safety Guidance
by: Sural, Shounak, et al.
Published: (2026)
by: Sural, Shounak, et al.
Published: (2026)
ComDrive: Comfort-Oriented End-to-End Autonomous Driving
by: Wang, Junming, et al.
Published: (2024)
by: Wang, Junming, et al.
Published: (2024)
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
by: Liao, Bencheng, et al.
Published: (2024)
by: Liao, Bencheng, et al.
Published: (2024)
ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
by: Li, Yongkang, et al.
Published: (2025)
by: Li, Yongkang, et al.
Published: (2025)
AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
by: Wu, Yanhao, et al.
Published: (2026)
by: Wu, Yanhao, et al.
Published: (2026)
Cognitive-Hierarchy Guided End-to-End Planning for Autonomous Driving
by: Wang, Zhennan, et al.
Published: (2025)
by: Wang, Zhennan, et al.
Published: (2025)
Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving
by: Ge, Junhao, et al.
Published: (2025)
by: Ge, Junhao, et al.
Published: (2025)
UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty
by: Yang, Pengxuan, et al.
Published: (2025)
by: Yang, Pengxuan, et al.
Published: (2025)
DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
by: Shang, Shuyao, et al.
Published: (2025)
by: Shang, Shuyao, et al.
Published: (2025)
MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving
by: Yasarla, Rajeev, et al.
Published: (2026)
by: Yasarla, Rajeev, et al.
Published: (2026)
Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving
by: Wintel, Florian, et al.
Published: (2025)
by: Wintel, Florian, et al.
Published: (2025)
Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving
by: Ivanovic, Boris, et al.
Published: (2025)
by: Ivanovic, Boris, et al.
Published: (2025)
UniMM-V2X: MoE-Enhanced Multi-Level Fusion for End-to-End Cooperative Autonomous Driving
by: Song, Ziyi, et al.
Published: (2025)
by: Song, Ziyi, et al.
Published: (2025)
Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving
by: Jiang, Bo, et al.
Published: (2024)
by: Jiang, Bo, et al.
Published: (2024)
DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving
by: Song, Ziying, et al.
Published: (2025)
by: Song, Ziying, et al.
Published: (2025)
Bridging Past and Future: End-to-End Autonomous Driving with Historical Prediction and Planning
by: Zhang, Bozhou, et al.
Published: (2025)
by: Zhang, Bozhou, et al.
Published: (2025)
Enhancing End-to-End Autonomous Driving with Risk Semantic Distillaion from VLM
by: Qin, Jack, et al.
Published: (2025)
by: Qin, Jack, et al.
Published: (2025)
Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving
by: Wang, Linbo, et al.
Published: (2026)
by: Wang, Linbo, et al.
Published: (2026)
Collision Risk Estimation via Loss Prediction in End-to-End Autonomous Driving
by: Xiong, Ziliang, et al.
Published: (2025)
by: Xiong, Ziliang, et al.
Published: (2025)
VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning
by: Jiang, Bo, et al.
Published: (2024)
by: Jiang, Bo, et al.
Published: (2024)
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
by: Jia, Xiaosong, et al.
Published: (2024)
by: Jia, Xiaosong, et al.
Published: (2024)
DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
by: Jia, Xiaosong, et al.
Published: (2025)
by: Jia, Xiaosong, et al.
Published: (2025)
Data Scaling Laws for End-to-End Autonomous Driving
by: Naumann, Alexander, et al.
Published: (2025)
by: Naumann, Alexander, et al.
Published: (2025)
HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models
by: Cho, Hoonhee, et al.
Published: (2026)
by: Cho, Hoonhee, et al.
Published: (2026)
Mimir: Hierarchical Goal-Driven Diffusion with Uncertainty Propagation for End-to-End Autonomous Driving
by: Xing, Zebin, et al.
Published: (2025)
by: Xing, Zebin, et al.
Published: (2025)
Beyond Imitation: Learning Safe End-to-End Autonomous Driving from Hard Negatives
by: Wang, Junli, et al.
Published: (2026)
by: Wang, Junli, et al.
Published: (2026)
Driving in Corner Case: A Real-World Adversarial Closed-Loop Evaluation Platform for End-to-End Autonomous Driving
by: Geng, Jiaheng, et al.
Published: (2025)
by: Geng, Jiaheng, et al.
Published: (2025)
DriveE2E: Closed-Loop Benchmark for End-to-End Autonomous Driving through Real-to-Simulation
by: Yu, Haibao, et al.
Published: (2025)
by: Yu, Haibao, et al.
Published: (2025)
Similar Items
-
SpaRC: Sparse Radar-Camera Fusion for 3D Object Detection
by: Wolters, Philipp, et al.
Published: (2024) -
Spatial-Temporal Multi-Cuts for Online Multiple-Camera Vehicle Tracking
by: Herzog, Fabian, et al.
Published: (2024) -
Lifting Multi-View Detection and Tracking to the Bird's Eye View
by: Teepe, Torben, et al.
Published: (2024) -
Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception
by: Wolters, Philipp, et al.
Published: (2024) -
ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
by: Zheng, Zhiyu, et al.
Published: (2025)