MIND-Stack: Modular, Interpretable, End-to-End Differentiability for Autonomous Navigation
Fuente:
arXiv
Saved in:
| Main Authors: | Jahncke, Felix, Betz, Johannes |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity
by: Seong, Hyunki, et al.
Published: (2024)
by: Seong, Hyunki, et al.
Published: (2024)
Interpretable Decision-Making for End-to-End Autonomous Driving
by: Mirzaie, Mona, et al.
Published: (2025)
by: Mirzaie, Mona, et al.
Published: (2025)
Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving
by: Azam, Shoaib, et al.
Published: (2022)
by: Azam, Shoaib, et al.
Published: (2022)
Fast End-to-End Generation of Belief Space Paths for Minimum Sensing Navigation
by: Taus, Lukas, et al.
Published: (2024)
by: Taus, Lukas, et al.
Published: (2024)
SutureBot: A Precision Framework & Benchmark For Autonomous End-to-End Suturing
by: Haworth, Jesse, et al.
Published: (2025)
by: Haworth, Jesse, et al.
Published: (2025)
Prompt-Driven Domain Adaptation for End-to-End Autonomous Driving via In-Context RL
by: Khurram, Aleesha, et al.
Published: (2025)
by: Khurram, Aleesha, et al.
Published: (2025)
ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving
by: Lu, Yuhang, et al.
Published: (2025)
by: Lu, Yuhang, et al.
Published: (2025)
Learning to be Smooth: An End-to-End Differentiable Particle Smoother
by: Younis, Ali, et al.
Published: (2025)
by: Younis, Ali, et al.
Published: (2025)
Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving
by: Zheng, Yinan, et al.
Published: (2026)
by: Zheng, Yinan, et al.
Published: (2026)
FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving
by: Wang, Baoyun, et al.
Published: (2026)
by: Wang, Baoyun, et al.
Published: (2026)
LEARN: Learning End-to-End Aerial Resource-Constrained Multi-Robot Navigation
by: Chiu, Darren, et al.
Published: (2025)
by: Chiu, Darren, 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)
ExACT: An End-to-End Autonomous Excavator System Using Action Chunking With Transformers
by: Chen, Liangliang, et al.
Published: (2024)
by: Chen, Liangliang, et al.
Published: (2024)
SKGE-SWIN: End-To-End Autonomous Vehicle Waypoint Prediction and Navigation Using Skip Stage Swin Transformer
by: Kartiman, Fachri Najm Noer, et al.
Published: (2025)
by: Kartiman, Fachri Najm Noer, et al.
Published: (2025)
DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
by: Jia, Xiaosong, et al.
Published: (2025)
by: Jia, Xiaosong, et al.
Published: (2025)
Follow-Me in Micro-Mobility with End-to-End Imitation Learning
by: Salimpour, Sahar, et al.
Published: (2025)
by: Salimpour, Sahar, et al.
Published: (2025)
OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving
by: Xing, Shuo, et al.
Published: (2024)
by: Xing, Shuo, et al.
Published: (2024)
Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving
by: Kou, Wei-Bin, et al.
Published: (2023)
by: Kou, Wei-Bin, et al.
Published: (2023)
A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation
by: Betz, Tobias, et al.
Published: (2024)
by: Betz, Tobias, et al.
Published: (2024)
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control
by: Zarrouki, Baha, et al.
Published: (2024)
by: Zarrouki, Baha, et al.
Published: (2024)
GaussianAD: Gaussian-Centric End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024)
by: Zheng, Wenzhao, et al.
Published: (2024)
Centaur: Robust End-to-End Autonomous Driving with Test-Time Training
by: Sima, Chonghao, et al.
Published: (2025)
by: Sima, Chonghao, et al.
Published: (2025)
EMMA: End-to-End Multimodal Model for Autonomous Driving
by: Hwang, Jyh-Jing, et al.
Published: (2024)
by: Hwang, Jyh-Jing, et al.
Published: (2024)
V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models
by: You, Junwei, et al.
Published: (2024)
by: You, Junwei, et al.
Published: (2024)
Multi-Resolution End-to-End Deep Neural Network for Optimizing Latency-Accuracy Tradeoff in Autonomous Driving
by: Weng, Qitao, et al.
Published: (2026)
by: Weng, Qitao, et al.
Published: (2026)
PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving
by: Wozniak, Maciej K., et al.
Published: (2025)
by: Wozniak, Maciej K., et al.
Published: (2025)
From Imitation to Exploration: End-to-end Autonomous Driving based on World Model
by: Li, Yueyuan, et al.
Published: (2024)
by: Li, Yueyuan, et al.
Published: (2024)
Toward AI Autonomous Navigation for Mechanical Thrombectomy using Hierarchical Modular Multi-agent Reinforcement Learning (HM-MARL)
by: Robertshaw, Harry, et al.
Published: (2026)
by: Robertshaw, Harry, et al.
Published: (2026)
See Less, Drive Better: Generalizable End-to-End Autonomous Driving via Foundation Models Stochastic Patch Selection
by: Mallak, Amir, et al.
Published: (2026)
by: Mallak, Amir, et al.
Published: (2026)
End-to-End Reinforcement Learning for Torque Based Variable Height Hopping
by: Soni, Raghav, et al.
Published: (2023)
by: Soni, Raghav, et al.
Published: (2023)
Addressing the Waypoint-Action Gap in End-to-End Autonomous Driving via Vehicle Motion Models
by: Rodríguez-Vidal, Jorge Daniel, et al.
Published: (2026)
by: Rodríguez-Vidal, Jorge Daniel, et al.
Published: (2026)
What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving
by: Zhou, Hongkuan, et al.
Published: (2023)
by: Zhou, Hongkuan, et al.
Published: (2023)
End-to-end Autonomous Driving: Challenges and Frontiers
by: Chen, Li, et al.
Published: (2023)
by: Chen, Li, et al.
Published: (2023)
TinyNav: End-to-End TinyML for Real-Time Autonomous Navigation on Microcontrollers
by: Roy, Pooria, et al.
Published: (2026)
by: Roy, Pooria, et al.
Published: (2026)
End-to-End Imitation Learning for Optimal Asteroid Proximity Operations
by: Quinn, Patrick, et al.
Published: (2025)
by: Quinn, Patrick, et al.
Published: (2025)
End-to-end RL Improves Dexterous Grasping Policies
by: Singh, Ritvik, et al.
Published: (2025)
by: Singh, Ritvik, et al.
Published: (2025)
ImaginationPolicy: Towards Generalizable, Precise and Reliable End-to-End Policy for Robotic Manipulation
by: Lu, Dekun, et al.
Published: (2025)
by: Lu, Dekun, et al.
Published: (2025)
Spiking Neural Networks for Continuous Control via End-to-End Model-Based Learning
by: Huebotter, Justus, et al.
Published: (2025)
by: Huebotter, Justus, et al.
Published: (2025)
Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks
by: Evans, Benjamin David, et al.
Published: (2024)
by: Evans, Benjamin David, et al.
Published: (2024)
DINO Pre-training for Vision-based End-to-end Autonomous Driving
by: Juneja, Shubham, et al.
Published: (2024)
by: Juneja, Shubham, et al.
Published: (2024)
Similar Items
-
Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity
by: Seong, Hyunki, et al.
Published: (2024) -
Interpretable Decision-Making for End-to-End Autonomous Driving
by: Mirzaie, Mona, et al.
Published: (2025) -
Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving
by: Azam, Shoaib, et al.
Published: (2022) -
Fast End-to-End Generation of Belief Space Paths for Minimum Sensing Navigation
by: Taus, Lukas, et al.
Published: (2024) -
SutureBot: A Precision Framework & Benchmark For Autonomous End-to-End Suturing
by: Haworth, Jesse, et al.
Published: (2025)