Copertina

SECURE: Stable Early Collision Understanding via Robust Embeddings in Autonomous Driving

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Wenjing, Wang, Wenxuan, Lai, Songning
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Stable Vision Concept Transformers for Medical Diagnosis
di: Hu, Lijie, et al.
Pubblicazione: (2025)

Mitigating Spurious Background Bias in Multimedia Recognition with Disentangled Concept Bottlenecks
di: Huang, Gaoxiang, et al.
Pubblicazione: (2025)

Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion
di: Tian, Bowen, et al.
Pubblicazione: (2024)

A Survey of Vision Transformers in Autonomous Driving: Current Trends and Future Directions
di: Lai-Dang, Quoc-Vinh
Pubblicazione: (2024)

CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
di: Yang, Huitong, et al.
Pubblicazione: (2025)

Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving
di: Kong, Lingdong, et al.
Pubblicazione: (2024)

See Less, Drive Better: Generalizable End-to-End Autonomous Driving via Foundation Models Stochastic Patch Selection
di: Mallak, Amir, et al.
Pubblicazione: (2026)

Dynamic Adversarial Attacks on Autonomous Driving Systems
di: Chahe, Amirhosein, et al.
Pubblicazione: (2023)

A Survey for Foundation Models in Autonomous Driving
di: Gao, Haoxiang, et al.
Pubblicazione: (2024)

FuseLIP: Multimodal Embeddings via Early Fusion of Discrete Tokens
di: Schlarmann, Christian, et al.
Pubblicazione: (2025)

Stable Consistency Tuning: Understanding and Improving Consistency Models
di: Wang, Fu-Yun, et al.
Pubblicazione: (2024)

Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric analysis
di: Deoli, Pankaj, et al.
Pubblicazione: (2024)

Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving
di: Arzberger, Alexandra, et al.
Pubblicazione: (2025)

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving
di: Wang, Jiayuan, et al.
Pubblicazione: (2025)

Exploiting T-norms for Deep Learning in Autonomous Driving
di: Stoian, Mihaela Cătălina, et al.
Pubblicazione: (2024)

CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention
di: Tang, Jiacheng, et al.
Pubblicazione: (2026)

A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving
di: Li, Jialin, et al.
Pubblicazione: (2025)

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving
di: Guan, Yanchen, et al.
Pubblicazione: (2025)

DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving
di: Lai, Songning, et al.
Pubblicazione: (2024)

Toward Unified Multimodal Representation Learning for Autonomous Driving
di: Tao, Ximeng, et al.
Pubblicazione: (2026)

Manipulating Embeddings of Stable Diffusion Prompts
di: Deckers, Niklas, et al.
Pubblicazione: (2023)

Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving
di: Mao, Zhenjiang, et al.
Pubblicazione: (2024)

Towards Multi-dimensional Explanation Alignment for Medical Classification
di: Hu, Lijie, et al.
Pubblicazione: (2024)

Magnification-Invariant Image Classification via Domain Generalization and Stable Sparse Embedding Signatures
di: Ezuma, Ifeanyi, et al.
Pubblicazione: (2026)

Understanding Adversarial Robustness from Feature Maps of Convolutional Layers
di: Xu, Cong, et al.
Pubblicazione: (2022)

Universal Camouflage Attack on Vision-Language Models for Autonomous Driving
di: Kong, Dehong, et al.
Pubblicazione: (2025)

Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets
di: Henriksson, Jens, et al.
Pubblicazione: (2024)

DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
di: Jia, Xiaosong, et al.
Pubblicazione: (2025)

Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection
di: Bao, Wenxuan, et al.
Pubblicazione: (2026)

DriveTok: 3D Driving Scene Tokenization for Unified Multi-View Reconstruction and Understanding
di: Zhuo, Dong, et al.
Pubblicazione: (2026)

Multi-Modal Sensor Fusion using Hybrid Attention for Autonomous Driving
di: Mayank, Mayank, et al.
Pubblicazione: (2026)

The ATLAS of Traffic Lights: A Reliable Perception Framework for Autonomous Driving
di: Polley, Rupert, et al.
Pubblicazione: (2025)

SCaRL- A Synthetic Multi-Modal Dataset for Autonomous Driving
di: Ramesh, Avinash Nittur, et al.
Pubblicazione: (2024)

OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving
di: Xing, Shuo, et al.
Pubblicazione: (2024)

Panoptic Perception for Autonomous Driving: A Survey
di: Li, Yunge, et al.
Pubblicazione: (2024)

Hybrid-Prediction Integrated Planning for Autonomous Driving
di: Liu, Haochen, et al.
Pubblicazione: (2024)

Optimizing Sparse Convolution on GPUs with CUDA for 3D Point Cloud Processing in Embedded Systems
di: Luo, Chester, et al.
Pubblicazione: (2024)

Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor
di: Agarwal, Vatsal, et al.
Pubblicazione: (2025)

Understanding Dataset Distillation via Spectral Filtering
di: Bo, Deyu, et al.
Pubblicazione: (2025)

DECOR: Deep Embedding Clustering with Orientation Robustness
di: Jothiraj, Fiona Victoria Stanley, et al.
Pubblicazione: (2025)