Copertina

How to deal with glare for improved perception of Autonomous Vehicles

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Alam, Muhammad Z., Kaleem, Zeeshan, Kelouwani, Sousso
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Trade-off Between Spatial and Angular Resolution in Facial Recognition
di: Alam, Muhammad Zeshan, et al.
Pubblicazione: (2024)

Depth-Aware Image and Video Orientation Estimation
di: Alam, Muhammad Z., et al.
Pubblicazione: (2026)

A Light Weight Multi-Features-View Convolution Neural Network For Plant Disease Identification
di: Khan, Muhammad Kaleem Ullah
Pubblicazione: (2026)

Ghosts in the Point Clouds: De-glaring LiDAR in the Transient Domain
di: Gump, Avery, et al.
Pubblicazione: (2026)

AINS: Affordable Indoor Navigation Solution via Line Color Identification Using Mono-Camera for Autonomous Vehicles
di: Maitlo, Nizamuddin, et al.
Pubblicazione: (2024)

Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation
di: Ahmad, Kaleem
Pubblicazione: (2025)

Saturation-Aware Space-Variant Blind Image Deblurring
di: Alam, Muhammad Z., et al.
Pubblicazione: (2026)

Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles
di: Guesmi, Amira, et al.
Pubblicazione: (2024)

Jointly Learning Spatial, Angular, and Temporal Information for Enhanced Lane Detection
di: Alam, Muhammad Zeshan
Pubblicazione: (2024)

On the Assessment of Sensitivity of Autonomous Vehicle Perception
di: Vassilev, Apostol, et al.
Pubblicazione: (2026)

Enhancing Object Detection Accuracy in Autonomous Vehicles Using Synthetic Data
di: Voronin, Sergei, et al.
Pubblicazione: (2024)

Vehicle-to-Everything Cooperative Perception for Autonomous Driving
di: Huang, Tao, et al.
Pubblicazione: (2023)

Real-Time Environment Condition Classification for Autonomous Vehicles
di: Introvigne, Marco, et al.
Pubblicazione: (2024)

Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios
di: Phan, Van-Hoang-Anh, et al.
Pubblicazione: (2025)

PAVE: An End-to-End Dataset for Production Autonomous Vehicle Evaluation
di: Li, Xiangyu, et al.
Pubblicazione: (2025)

Monocular Localization with Semantics Map for Autonomous Vehicles
di: Wan, Jixiang, et al.
Pubblicazione: (2024)

Neural Semantic Map-Learning for Autonomous Vehicles
di: Herb, Markus, et al.
Pubblicazione: (2024)

UNCOVER: Unknown Class Object Detection for Autonomous Vehicles in Real-time
di: Schmarje, Lars, et al.
Pubblicazione: (2024)

Robust Long-Range Perception Against Sensor Misalignment in Autonomous Vehicles
di: Xia, Zi-Xiang, et al.
Pubblicazione: (2024)

Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
di: Liu, Jiangfan, et al.
Pubblicazione: (2025)

Neuro-Cognitive Reward Modeling for Human-Centered Autonomous Vehicle Control
di: Zhuang, Zhuoli, et al.
Pubblicazione: (2026)

Vision Transformer Based Semantic Communications for Next Generation Wireless Networks
di: Mohsin, Muhammad Ahmed, et al.
Pubblicazione: (2025)

Dataset and Benchmark: Novel Sensors for Autonomous Vehicle Perception
di: Carmichael, Spencer, et al.
Pubblicazione: (2024)

ANNA: A Deep Learning Based Dataset in Heterogeneous Traffic for Autonomous Vehicles
di: Kamal, Mahedi, et al.
Pubblicazione: (2024)

ObjectTransforms for Uncertainty Quantification and Reduction in Vision-Based Perception for Autonomous Vehicles
di: Sahu, Nishad, et al.
Pubblicazione: (2025)

Robust Vision Systems for Connected and Autonomous Vehicles: Security Challenges and Attack Vectors
di: Gupta, Sandeep, et al.
Pubblicazione: (2026)

UniFlow: Zero-Shot LiDAR Scene Flow for Autonomous Vehicles
di: Li, Siyi, et al.
Pubblicazione: (2025)

DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation
di: Hayder, Zeeshan, et al.
Pubblicazione: (2024)

V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models
di: Chiu, Hsu-kuang, et al.
Pubblicazione: (2025)

Image Segmentation via Divisive Normalization: dealing with environmental diversity
di: Hernández-Cámara, Pablo, et al.
Pubblicazione: (2024)

LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing
di: Cellina, Marcello, et al.
Pubblicazione: (2025)

PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors
di: Yuan, Tianyuan, et al.
Pubblicazione: (2024)

HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles
di: Qu, Deyuan, et al.
Pubblicazione: (2024)

A Real-Time DETR Approach to Bangladesh Road Object Detection for Autonomous Vehicles
di: Shahan, Irfan Nafiz, et al.
Pubblicazione: (2024)

Directed-CP: Directed Collaborative Perception for Connected and Autonomous Vehicles via Proactive Attention
di: Tao, Yihang, et al.
Pubblicazione: (2024)

Multi-View Camera System for Variant-Aware Autonomous Vehicle Inspection and Defect Detection
di: Kulkarni, Yash, et al.
Pubblicazione: (2025)

BEVMAPMATCH: Multimodal BEV Neural Map Matching for Robust Re-Localization of Autonomous Vehicles
di: Sural, Shounak, et al.
Pubblicazione: (2026)

Light Field Spatial Resolution Enhancement Framework
di: Shabbir, Javeria, et al.
Pubblicazione: (2024)

Enhancing 3D Object Detection in Autonomous Vehicles Based on Synthetic Virtual Environment Analysis
di: Li, Vladislav, et al.
Pubblicazione: (2024)

Training A Neural Network For Partially Occluded Road Sign Identification In The Context Of Autonomous Vehicles
di: Gimaletdinova, Gulnaz, et al.
Pubblicazione: (2025)