Cover Image

MGNet: Monocular Geometric Scene Understanding for Autonomous Driving

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schön, Markus, Buchholz, Michael, Dietmayer, Klaus
Format:	Preprint
Published:	2022
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MGNiceNet: Unified Monocular Geometric Scene Understanding
by: Schön, Markus, et al.
Published: (2024)

The ADUULM-360 Dataset -- A Multi-Modal Dataset for Depth Estimation in Adverse Weather
by: Schön, Markus, et al.
Published: (2024)

SemanticSpray++: A Multimodal Dataset for Autonomous Driving in Wet Surface Conditions
by: Piroli, Aldi, et al.
Published: (2024)

MGNet: Learning Correspondences via Multiple Graphs
by: Dai, Luanyuan, et al.
Published: (2024)

Unsupervised Monocular Road Segmentation for Autonomous Driving via Scene Geometry
by: Rostami, Sara Hatami, et al.
Published: (2025)

Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions
by: Pfeuffer, Andreas, et al.
Published: (2018)

PanoSSC: Exploring Monocular Panoptic 3D Scene Reconstruction for Autonomous Driving
by: Shi, Yining, et al.
Published: (2024)

OmniScene: Attention-Augmented Multimodal 4D Scene Understanding for Autonomous Driving
by: Liu, Pei, et al.
Published: (2025)

GraphPilot: Grounded Scene Graph Conditioning for Language-Based Autonomous Driving
by: Schmidt, Fabian, et al.
Published: (2025)

RSUD20K: A Dataset for Road Scene Understanding In Autonomous Driving
by: Zunair, Hasib, et al.
Published: (2024)

DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
by: Min, Chen, et al.
Published: (2024)

The Radar Ghost Dataset -- An Evaluation of Ghost Objects in Automotive Radar Data
by: Kraus, Florian, et al.
Published: (2024)

Semantic Segmentation of Video Sequences with Convolutional LSTMs
by: Pfeuffer, Andreas, et al.
Published: (2019)

InsightDrive: Insight Scene Representation for End-to-End Autonomous Driving
by: Song, Ruiqi, et al.
Published: (2025)

Single-Eye View: Monocular Real-time Perception Package for Autonomous Driving
by: Zhang, Haixi, et al.
Published: (2026)

Information Coordination as a Bridge: A Neuro-Symbolic Architecture for Reliable Autonomous Driving Scene Understanding
by: Liu, Shuo, et al.
Published: (2026)

Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling
by: Wei, Ruofeng, et al.
Published: (2024)

SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
by: Sun, Wenchao, et al.
Published: (2024)

DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes
by: Zhou, Xiaoyu, et al.
Published: (2023)

Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks
by: Ma, Fulong, et al.
Published: (2024)

ALOOD: Exploiting Language Representations for LiDAR-based Out-of-Distribution Object Detection
by: Kösel, Michael, et al.
Published: (2026)

Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection
by: Kösel, Michael, et al.
Published: (2024)

Optical Lens Attack on Monocular Depth Estimation for Autonomous Driving
by: Zhou, Ce, et al.
Published: (2024)

SSF: Sparse Long-Range Scene Flow for Autonomous Driving
by: Khoche, Ajinkya, et al.
Published: (2025)

FlowAD: Ego-Scene Interactive Modeling for Autonomous Driving
by: Guo, Mingzhe, et al.
Published: (2026)

SGDrive: Scene-to-Goal Hierarchical World Cognition for Autonomous Driving
by: Li, Jingyu, et al.
Published: (2026)

DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving
by: Shi, Chen, et al.
Published: (2025)

Vision-Language Models for Autonomous Driving: CLIP-Based Dynamic Scene Understanding
by: Elhenawy, Mohammed, et al.
Published: (2025)

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception
by: Vosshans, Marcel, et al.
Published: (2025)

Deep Learning Perspective of Scene Understanding in Autonomous Robots
by: Maham, Afia, et al.
Published: (2025)

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

nuScenes Revisited: Progress and Challenges in Autonomous Driving
by: Fong, Whye Kit, et al.
Published: (2025)

Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents
by: Wei, Yuxi, et al.
Published: (2024)

Nighttime Autonomous Driving Scene Reconstruction with Physically-Based Gaussian Splatting
by: Kim, Tae-Kyeong, et al.
Published: (2026)

Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving
by: Li, Peidong, et al.
Published: (2024)

Active Learning from Scene Embeddings for End-to-End Autonomous Driving
by: Jiang, Wenhao, et al.
Published: (2025)

GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving
by: Zhang, Yunpeng, et al.
Published: (2024)

DriveXQA: Cross-modal Visual Question Answering for Adverse Driving Scene Understanding
by: Tao, Mingzhe, et al.
Published: (2026)

RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation
by: Yan, Tianyi, et al.
Published: (2025)

DriveLiDAR4D: Sequential and Controllable LiDAR Scene Generation for Autonomous Driving
by: Cai, Kaiwen, et al.
Published: (2025)