Autonomous Driving in Unstructured Environments: How Far Have We Come?
Fuente:
arXiv
Guardado en:
| Autores principales: | Min, Chen, Si, Shubin, Wang, Xu, Xue, Hanzhang, Jiang, Weizhong, Chen, Zitong, Li, Mengmeng, Mei, Jilin, Shang, Erke, Xiao, Zhipeng, Dai, Bin, Zhu, Qi, Fu, Hao, Zhao, Dawei, Xiao, Liang, Nie, Yiming, Hu, Yu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
The Digital Cybersecurity Expert: How Far Have We Come?
por: Wang, Dawei, et al.
Publicado: (2025)
por: Wang, Dawei, et al.
Publicado: (2025)
UniScene: Multi-Camera Unified Pre-training via 3D Scene Reconstruction for Autonomous Driving
por: Min, Chen, et al.
Publicado: (2023)
por: Min, Chen, et al.
Publicado: (2023)
Portfolio Assessment: How Far Have We Come?
por: Brown, Carol A.
Publicado: (2002)
por: Brown, Carol A.
Publicado: (2002)
We May Have Come Too Far, Too Fast
Transcatheter Approaches to Atrial Functional Mitral Regurgitation: How Far Have We Come?
por: Alberto Preda, et al.
Publicado: (2024)
por: Alberto Preda, et al.
Publicado: (2024)
How Far Have LLMs Come Toward Automated SATD Taxonomy Construction?
por: Nakashima, Sota, et al.
Publicado: (2025)
por: Nakashima, Sota, et al.
Publicado: (2025)
How Far Have We Gone in Binary Code Understanding Using Large Language Models
por: Shang, Xiuwei, et al.
Publicado: (2024)
por: Shang, Xiuwei, et al.
Publicado: (2024)
Advancing Off-Road Autonomous Driving: The Large-Scale ORAD-3D Dataset and Comprehensive Benchmarks
por: Min, Chen, et al.
Publicado: (2025)
por: Min, Chen, et al.
Publicado: (2025)
Ultra‐Wide Color Gamut Displays: How Far Have We Come in Rendering Real‐World Colors?
por: Farnaz Agahian, et al.
Publicado: (2026)
por: Farnaz Agahian, et al.
Publicado: (2026)
We Have Come a Long Way.
por: Hagemeyer, Alice Lougee
Publicado: (1992)
por: Hagemeyer, Alice Lougee
Publicado: (1992)
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
por: Min, Chen, et al.
Publicado: (2024)
por: Min, Chen, et al.
Publicado: (2024)
CORENet: Cross-Modal 4D Radar Denoising Network with LiDAR Supervision for Autonomous Driving
por: Liu, Fuyang, et al.
Publicado: (2025)
por: Liu, Fuyang, et al.
Publicado: (2025)
ImageAttributionBench: How Far Are We from Generalizable Attribution?
por: Mou, Tingshu, et al.
Publicado: (2026)
por: Mou, Tingshu, et al.
Publicado: (2026)
The Online Engines that Could: Search Tools Have Come Far. Should Librarians Be Worried?
por: Minkel, Walter
Publicado: (2004)
por: Minkel, Walter
Publicado: (2004)
The LURN Study—What Have We “LURN”ed So Far?
por: H. Henry Lai
Publicado: (2026)
por: H. Henry Lai
Publicado: (2026)
Multimodal Trajectory Prediction for Autonomous Driving on Unstructured Roads using Deep Convolutional Network
por: Li, Lei, et al.
Publicado: (2024)
por: Li, Lei, et al.
Publicado: (2024)
Foundation Models for Autonomous Robots in Unstructured Environments
por: Naderi, Hossein, et al.
Publicado: (2024)
por: Naderi, Hossein, et al.
Publicado: (2024)
How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study
por: Liu, Che, et al.
Publicado: (2025)
por: Liu, Che, et al.
Publicado: (2025)
Vulnerability-Affected Versions Identification: How Far Are We?
por: Chen, Xingchu, et al.
Publicado: (2025)
por: Chen, Xingchu, et al.
Publicado: (2025)
A Vision-Language-Action Model with Visual Prompt for OFF-Road Autonomous Driving
por: Zhang, Liangdong, et al.
Publicado: (2026)
por: Zhang, Liangdong, et al.
Publicado: (2026)
PointSlice: Accurate and Efficient Slice-Based Representation for 3D Object Detection from Point Clouds
por: Qifeng, Liu, et al.
Publicado: (2025)
por: Qifeng, Liu, et al.
Publicado: (2025)
Solving Scene Understanding for Autonomous Navigation in Unstructured Environments
por: Renji, Naveen Mathews, et al.
Publicado: (2025)
por: Renji, Naveen Mathews, et al.
Publicado: (2025)
Segmented Trajectory Optimization for Autonomous Parking in Unstructured Environments
por: Yu, Hang, et al.
Publicado: (2025)
por: Yu, Hang, et al.
Publicado: (2025)
Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?
por: Xin, Yuan, et al.
Publicado: (2025)
por: Xin, Yuan, et al.
Publicado: (2025)
How Far Should We Need to Go : Evaluate Provenance-based Intrusion Detection Systems in Industrial Scenarios
por: Xiao, Yue, et al.
Publicado: (2026)
por: Xiao, Yue, et al.
Publicado: (2026)
Ground4D: Spatially-Grounded Feedforward 4D Reconstruction for Unstructured Off-Road Scenes
por: Wang, Shuo, et al.
Publicado: (2026)
por: Wang, Shuo, et al.
Publicado: (2026)
DRIFT: Driving Risk Inference via Field Transmission for Human-like Autonomous Driving
por: Wang, Zian, et al.
Publicado: (2026)
por: Wang, Zian, et al.
Publicado: (2026)
LLMs for Relational Reasoning: How Far are We?
por: Li, Zhiming, et al.
Publicado: (2024)
por: Li, Zhiming, et al.
Publicado: (2024)
Autonomous Robotic Pepper Harvesting: Imitation Learning in Unstructured Agricultural Environments
por: Kim, Chung Hee, et al.
Publicado: (2024)
por: Kim, Chung Hee, et al.
Publicado: (2024)
Maps for Autonomous Driving: Full-process Survey and Frontiers
por: Chen, Pengxin, et al.
Publicado: (2025)
por: Chen, Pengxin, et al.
Publicado: (2025)
When Autonomous Vehicle Meets V2X Cooperative Perception: How Far Are We?
por: Guo, An, et al.
Publicado: (2025)
por: Guo, An, et al.
Publicado: (2025)
AutoPT: How Far Are We from the End2End Automated Web Penetration Testing?
por: Wu, Benlong, et al.
Publicado: (2024)
por: Wu, Benlong, et al.
Publicado: (2024)
Amazing Things Come From Having Many Good Models
por: Rudin, Cynthia, et al.
Publicado: (2024)
por: Rudin, Cynthia, et al.
Publicado: (2024)
Joint Semantic‐geometric Mapping of Unstructured Environment for Autonomous Mobile Robotic Sprayers
por: Xubin Lin, et al.
Publicado: (2025)
por: Xubin Lin, et al.
Publicado: (2025)
Measurement of the high energy $γ$-rays from heavy ion reactions using Čerenkov detector
por: Si, Dawei, et al.
Publicado: (2023)
por: Si, Dawei, et al.
Publicado: (2023)
How Far Are We from Optimal Reasoning Efficiency?
por: Gao, Jiaxuan, et al.
Publicado: (2025)
por: Gao, Jiaxuan, et al.
Publicado: (2025)
Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone?
por: Nguyen, Van, et al.
Publicado: (2024)
por: Nguyen, Van, et al.
Publicado: (2024)
Advancing Autonomous Driving System Testing: Demands, Challenges, and Future Directions
por: Liao, Yihan, et al.
Publicado: (2025)
por: Liao, Yihan, et al.
Publicado: (2025)
PICABench: How Far Are We from Physically Realistic Image Editing?
por: Pu, Yuandong, et al.
Publicado: (2025)
por: Pu, Yuandong, et al.
Publicado: (2025)
Adaptive Fuzzy C-Means with Graph Embedding
por: Chen, Qiang, et al.
Publicado: (2024)
por: Chen, Qiang, et al.
Publicado: (2024)
Ejemplares similares
-
The Digital Cybersecurity Expert: How Far Have We Come?
por: Wang, Dawei, et al.
Publicado: (2025) -
UniScene: Multi-Camera Unified Pre-training via 3D Scene Reconstruction for Autonomous Driving
por: Min, Chen, et al.
Publicado: (2023) -
Portfolio Assessment: How Far Have We Come?
por: Brown, Carol A.
Publicado: (2002) - We May Have Come Too Far, Too Fast
-
Transcatheter Approaches to Atrial Functional Mitral Regurgitation: How Far Have We Come?
por: Alberto Preda, et al.
Publicado: (2024)