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A Survey on Deep Learning Based Approaches for Scene Understanding in Autonomous Driving

https://doi.org/10.3390/electronics10040471

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/rob.21918openalex-snapshot

A survey of deep learning techniques for autonomous driving

inferredcites →https://doi.org/10.1007/978-3-030-01234-2_49openalex-snapshot

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

inferredcites →https://doi.org/10.1007/978-3-030-01246-5_30openalex-snapshot

Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection

inferredcites →https://doi.org/10.1007/978-3-030-58586-0_17openalex-snapshot

Ultra Fast Structure-Aware Deep Lane Detection

inferredcites →https://doi.org/10.1007/978-3-319-10584-0_20openalex-snapshot

Simultaneous Detection and Segmentation

inferredcites →https://doi.org/10.1007/978-3-319-10584-0_23openalex-snapshot

Learning Rich Features from RGB-D Images for Object Detection and Segmentation

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot

Microsoft COCO: Common Objects in Context

inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot

U-Net: Convolutional Networks for Biomedical Image Segmentation

inferredcites →https://doi.org/10.1007/978-3-319-46448-0_2openalex-snapshot

SSD: Single Shot MultiBox Detector

inferredcites →https://doi.org/10.1007/978-3-319-46448-0_5openalex-snapshot

Learning to Refine Object Segments

inferredcites →https://doi.org/10.1007/978-3-319-46466-4_32openalex-snapshot

Instance-Sensitive Fully Convolutional Networks

inferredcites →https://doi.org/10.1007/978-3-540-88682-2_5openalex-snapshot

Segmentation and Recognition Using Structure from Motion Point Clouds

inferredcites →https://doi.org/10.1007/s11263-007-0109-1openalex-snapshot

TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context

inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot

The Pascal Visual Object Classes (VOC) Challenge

inferredcites →https://doi.org/10.1007/s11263-013-0620-5openalex-snapshot

Selective Search for Object Recognition

inferredcites →https://doi.org/10.1007/s11263-020-01369-0openalex-snapshot

Scene Text Detection and Recognition: The Deep Learning Era

inferredcites →https://doi.org/10.1007/s12239-010-0049-6openalex-snapshot

Robust lane markings detection and road geometry computation

inferredcites →https://doi.org/10.1016/j.patrec.2017.09.038openalex-snapshot

Multimodal vehicle detection: fusing 3D-LIDAR and color camera data

inferredcites →https://doi.org/10.1016/j.robot.2018.11.002openalex-snapshot

LIDAR–camera fusion for road detection using fully convolutional neural networks

inferredcites →https://doi.org/10.1080/00207160701303912openalex-snapshot

Computer vision and pattern recognition

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/cvpr.2014.49openalex-snapshot

Multiscale Combinatorial Grouping

inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot

Going deeper with convolutions

inferredcites →https://doi.org/10.1109/cvpr.2015.7298642openalex-snapshot

Hypercolumns for object segmentation and fine-grained localization

inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot

Fully convolutional networks for semantic segmentation

inferredcites →https://doi.org/10.1109/cvpr.2015.7299025openalex-snapshot

Convolutional feature masking for joint object and stuff segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot

Rethinking the Inception Architecture for Computer Vision

inferredcites →https://doi.org/10.1109/cvpr.2016.343openalex-snapshot

Instance-Aware Semantic Segmentation via Multi-task Network Cascades

inferredcites →https://doi.org/10.1109/cvpr.2016.350openalex-snapshot

The Cityscapes Dataset for Semantic Urban Scene Understanding

inferredcites →https://doi.org/10.1109/cvpr.2016.609openalex-snapshot

Volumetric and Multi-view CNNs for Object Classification on 3D Data

inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot

You Only Look Once: Unified, Real-Time Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot

Feature Pyramid Networks for Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.16openalex-snapshot

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2017.195openalex-snapshot

Xception: Deep Learning with Depthwise Separable Convolutions

inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot

Densely Connected Convolutional Networks

inferredcites →https://doi.org/10.1109/cvpr.2017.472openalex-snapshot

Fully Convolutional Instance-Aware Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2017.549openalex-snapshot

RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2017.634openalex-snapshot

Aggregated Residual Transformations for Deep Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2017.660openalex-snapshot

Pyramid Scene Parsing Network

inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot

YOLO9000: Better, Faster, Stronger

inferredcites →https://doi.org/10.1109/cvpr.2017.75openalex-snapshot

Dilated Residual Networks

inferredcites →https://doi.org/10.1109/cvpr.2018.00411openalex-snapshot

Neural 3D Mesh Renderer

inferredcites →https://doi.org/10.1109/cvpr.2018.00445openalex-snapshot

Learning to Segment Every Thing

inferredcites →https://doi.org/10.1109/cvpr.2018.00472openalex-snapshot

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2018.00479openalex-snapshot

Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs

inferredcites →https://doi.org/10.1109/cvpr.2018.00644openalex-snapshot

Cascade R-CNN: Delving Into High Quality Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2018.00716openalex-snapshot

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

inferredcites →https://doi.org/10.1109/cvpr.2018.00745openalex-snapshot

Squeeze-and-Excitation Networks

inferredcites →https://doi.org/10.1109/cvpr.2018.00907openalex-snapshot

Learning Transferable Architectures for Scalable Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2018.00913openalex-snapshot

Path Aggregation Network for Instance Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2019.00326openalex-snapshot

Dual Attention Network for Scene Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2019.00656openalex-snapshot

Panoptic Feature Pyramid Networks

inferredcites →https://doi.org/10.1109/cvpr.2019.00963openalex-snapshot

Panoptic Segmentation

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00271openalex-snapshot

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01392openalex-snapshot

CenterMask: Real-Time Anchor-Free Instance Segmentation

inferredcites →https://doi.org/10.1109/cvprw.2018.00141openalex-snapshot

The ApolloScape Dataset for Autonomous Driving

inferredcites →https://doi.org/10.1109/iccv.2009.5459248openalex-snapshot

Associative hierarchical CRFs for object class image segmentation

inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot

Fast R-CNN

inferredcites →https://doi.org/10.1109/iccv.2015.179openalex-snapshot

Conditional Random Fields as Recurrent Neural Networks

inferredcites →https://doi.org/10.1109/iccv.2017.215openalex-snapshot

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition

inferredcites →https://doi.org/10.1109/iccv.2017.322openalex-snapshot

Mask R-CNN

inferredcites →https://doi.org/10.1109/iccv.2017.534openalex-snapshot

The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes

inferredcites →https://doi.org/10.1109/iccv.2019.00301openalex-snapshot

3D-LaneNet: End-to-End 3D Multiple Lane Detection

inferredcites →https://doi.org/10.1109/iccv.2019.00667openalex-snapshot

CenterNet: Keypoint Triplets for Object Detection

inferredcites →https://doi.org/10.1109/iccv.2019.00972openalex-snapshot

FCOS: Fully Convolutional One-Stage Object Detection

inferredcites →https://doi.org/10.1109/iccv.2019.00987openalex-snapshot

Fast Point R-CNN

inferredcites →https://doi.org/10.1109/iccvw.2019.00119openalex-snapshot

End-to-end Lane Detection through Differentiable Least-Squares Fitting

inferredcites →https://doi.org/10.1109/icra.2016.7487370openalex-snapshot

Fusing LIDAR and images for pedestrian detection using convolutional neural networks

inferredcites →https://doi.org/10.1109/iros.2016.7759717openalex-snapshot

Efficient deep models for monocular road segmentation

inferredcites →https://doi.org/10.1109/iros40897.2019.8968513openalex-snapshot

Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection

inferredcites →https://doi.org/10.1109/itsc.2017.8317901openalex-snapshot

Deep fully convolutional networks with random data augmentation for enhanced generalization in road detection

inferredcites →https://doi.org/10.1109/ivs.2008.4621152openalex-snapshot

Real time detection of lane markers in urban streets

inferredcites →https://doi.org/10.1109/ivs.2010.5548021openalex-snapshot

Combining Statistical Hough Transform and Particle Filter for robust lane detection and tracking

inferredcites →https://doi.org/10.1109/ivs.2017.7995966openalex-snapshot

Efficient ConvNet for real-time semantic segmentation

inferredcites →https://doi.org/10.1109/ivs.2018.8500504openalex-snapshot

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

inferredcites →https://doi.org/10.1109/ivs.2018.8500547openalex-snapshot

Towards End-to-End Lane Detection: an Instance Segmentation Approach

inferredcites →https://doi.org/10.1109/tits.2009.2018328openalex-snapshot

Probabilistic Lane Tracking in Difficult Road Scenarios Using Stereovision

inferredcites →https://doi.org/10.1109/tits.2017.2675710openalex-snapshot

Anomaly Detection for Road Traffic: A Visual Analytics Framework

inferredcites →https://doi.org/10.1109/tits.2021.3088488openalex-snapshot

Key Points Estimation and Point Instance Segmentation Approach for Lane Detection

inferredcites →https://doi.org/10.1109/tiv.2018.2873901openalex-snapshot

Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks

inferredcites →https://doi.org/10.1109/tpami.2012.231openalex-snapshot

Learning Hierarchical Features for Scene Labeling

inferredcites →https://doi.org/10.1109/tpami.2012.59openalex-snapshot

3D Convolutional Neural Networks for Human Action Recognition

inferredcites →https://doi.org/10.1109/tpami.2015.2389824openalex-snapshot

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

inferredcites →https://doi.org/10.1109/tpami.2016.2644615openalex-snapshot

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

inferredcites →https://doi.org/10.1109/tpami.2017.2699184openalex-snapshot

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

inferredcites →https://doi.org/10.1109/tpami.2018.2858826openalex-snapshot

Focal Loss for Dense Object Detection

inferredcites →https://doi.org/10.1109/wacv.2018.00145openalex-snapshot

Driving Scene Perception Network: Real-Time Joint Detection, Depth Estimation and Semantic Segmentation

inferredcites →https://doi.org/10.1109/wacv.2018.00163openalex-snapshot

Understanding Convolution for Semantic Segmentation

inferredcites →https://doi.org/10.1145/1148170.1148176openalex-snapshot

User performance versus precision measures for simple search tasks

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1145/3326362openalex-snapshot

Dynamic Graph CNN for Learning on Point Clouds

inferredcites →https://doi.org/10.1162/neco.1989.1.4.541openalex-snapshot

Backpropagation Applied to Handwritten Zip Code Recognition

inferredcites →https://doi.org/10.1177/0278364913491297openalex-snapshot

Vision meets robotics: The KITTI dataset

inferredcites →https://doi.org/10.1561/0600000079openalex-snapshot

Computer Vision for Autonomous Vehicles

inferredcites →https://doi.org/10.1609/aaai.v31i1.11231openalex-snapshot

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

inferredcites →https://doi.org/10.3390/electronics7110276openalex-snapshot

Real-Time Road Lane Detection in Urban Areas Using LiDAR Data

inferredcites →https://doi.org/10.3390/electronics9081235openalex-snapshot

GC-YOLOv3: You Only Look Once with Global Context Block

inferredcites →https://doi.org/10.3390/electronics9101602openalex-snapshot

CED-Net: Crops and Weeds Segmentation for Smart Farming Using a Small Cascaded Encoder-Decoder Architecture

inferredcites →https://doi.org/10.3390/electronics9101702openalex-snapshot

Salient Object Detection Combining a Self-Attention Module and a Feature Pyramid Network

inferredcites →https://doi.org/10.48550/arxiv.1210.5644openalex-snapshot

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials

inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-snapshot

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

inferredcites →https://doi.org/10.48550/arxiv.1511.07122openalex-snapshot

Multi-Scale Context Aggregation by Dilated Convolutions

inferredcites →https://doi.org/10.48550/arxiv.1706.05587openalex-snapshot

Rethinking Atrous Convolution for Semantic Image Segmentation

inferredcites →https://doi.org/10.48550/arxiv.1708.02551openalex-snapshot

Semantic Instance Segmentation with a Discriminative Loss Function

inferredcites →https://doi.org/10.48550/arxiv.1809.02110openalex-snapshot

Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network

inferredcites →https://doi.org/10.48550/arxiv.1903.11816openalex-snapshot

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation

inferredcites →https://doi.org/10.48550/arxiv.1908.01570openalex-snapshot

Revisiting Feature Alignment for One-stage Object Detection

inferredcites →https://doi.org/10.5244/c.30.15openalex-snapshot

A MultiPath Network for Object Detection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Social Interaction‐Aware Dynamical Models and Decision‐Making for Autonomous Vehicles

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Deep Learning‐Driven Steering Angle Prediction and Scene Understanding via Harmonic Carpet Weaver Optimization

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Lane Detection for Autonomous Vehicle in Hazy Environment with Optimized Deep Learning Techniques

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A Survey on Knowledge Graph-Based Methods for Automated Driving

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Agent3D-Zero: An Agent for Zero-Shot 3D Understanding

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Hierarchical Transfer Multi-task Learning Approach for Scene Classification

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Perception Algorithms

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A Stereo Vision-Based Approach for Robust Scene Changes Detection

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Designing Deep Learning Architectures for Multiview 3D Shape Estimation Using Image Transformers

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Optimized FPGA Architecture for CNN-Driven Voice Disorder Detection

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Road Boundary Detection Using Multi-channel LiDAR Based on Disassemble-reassemble-merge Algorithm for Autonomous Driving

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Robust appearance modeling for object detection and tracking: a survey of deep learning approaches

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The Role of Artificial Intelligence in Electric and Autonomous Vehicles

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Enhancing autonomous driving decision-making using knowledge graph representation and distillation techniques

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Deep learning methods for autonomous driving scene understanding tasks: A review

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Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method

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Detecting Danger: AI-Enabled Road Crack Detection for Autonomous Vehicles

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Multiscale adaptive fusion network for joint classification of hyperspectral and LiDAR data

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Autonomous Advanced Aerial Mobility—An End-to-End Autonomy Framework for UAVs and Beyond

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Deep Learning for Traffic Scene Understanding: A Review

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Leveraging Deep Learning for Computer Vision: A Review

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A Review of Scene Understanding in Smart Manufacturing Environments

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BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving Environments

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Novel Convolutional Neural Network (CNN) Augmented Reality Apps: Mobile Gesture Interpretation and Real-Time Scene Interpretation

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Multi-Scale Attention-Enhanced Convolutional Neural Network for Real-Time Object Detection and Scene Understanding in Dynamic Environments

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Navigating the Future: Advancing Autonomous Vehicles through Robust Target Recognition and Real-Time Avoidance

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Enhancing Autonomous Vehicle Navigation Using Deep Learning-Based Scene Understanding

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Domain-Invariant Feature Alignment Using Variational Inference for Partial Domain Adaptation

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Robust Class-Conditional Distribution Alignment for Partial Domain Adaptation

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NSA: Naturalistic Support Artifact to Boost Network Confidence

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Real-Time Autonomous Driving in High-Illumination Conditions Using Kalman Filter

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Improving Autonomous Vehicle Cognitive Robustness in Extreme Weather With Deep Learning and Thermal Camera Fusion

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SceneAware-FOD: Dual-Stream Fusion for Context-Driven Foreign Object Detection

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Robust Cognitive Capability in Autonomous Driving Using Sensor Fusion Techniques: A Survey

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Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys

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Wiometrics: Comparative Performance of Artificial Neural Networks for Wireless Navigation

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Deep Learning for Scene Flow Estimation on Point Clouds: A Survey and Prospective Trends

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Object Detection for Autonomous Vehicle in Hazy Environment using Optimized Deep Learning Techniques

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User Demand Analysis of User-centered Automotive Cockpit Context Components

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TAVEN: Task-driven Adaptive Viewpoint Exploration for Training-Free 3D Spatial Reasoning and Understanding

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An End-to-End Learning-Based Row-Following System for an Agricultural Robot in Structured Apple Orchards

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Multiclass objects detection algorithm using DarkNet-53 and DenseNet for intelligent vehicles

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Semantic Segmentation on FDFD-generated Wideband Radar Images of Potential Shooters

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PF-MSVNet: A 3D Object Detection Model With Multi-scale Point- level Feature Fusion

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Research on 3D Animation Scene Plane Design Based on Deep Learning

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Challenges and Solutions for Autonomous Ground Robot Scene Understanding and Navigation in Unstructured Outdoor Environments: A Review

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Event-Based Pedestrian Detection Using Dynamic Vision Sensors

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Autonomous Vehicles Technological Trends

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FPGA-Based Convolutional Neural Network Accelerator with Resource-Optimized Approximate Multiply-Accumulate Unit

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Space Discretization-Based Optimal Trajectory Planning for Automated Vehicles in Narrow Corridor Scenes

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Vision-Language Models for Autonomous Driving: CLIP-Based Dynamic Scene Understanding

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Intelligent Traffic Management: Comparative Evaluation of YOLOv3, YOLOv5, and YOLOv8 for Vehicle Detection in Urban Environments in Montería, Colombia

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The Fusion Strategy of 2D and 3D Information Based on Deep Learning: A Review

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A Novel Real-Time Edge-Guided LiDAR Semantic Segmentation Network for Unstructured Environments

inferred← citeshttps://doi.org/10.3390/s22093456openalex-snapshot

Pedestrian and Animal Recognition Using Doppler Radar Signature and Deep Learning

inferred← citeshttps://doi.org/10.3390/s23198061openalex-snapshot

Beyond Human Detection: A Benchmark for Detecting Common Human Posture

inferred← citeshttps://doi.org/10.4271/2024-01-2051openalex-snapshot

Energy-Efficient and Context-Aware Computing in Software-Defined Vehicles for Advanced Driver Assistance Systems (ADAS)

inferred← citeshttps://doi.org/10.47852/bonviewaia2202524openalex-snapshot

Distribution Alignment Using Complement Entropy Objective and Adaptive Consensus-Based Label Refinement For Partial Domain Adaptation

inferred← citeshttps://doi.org/10.5194/amt-17-3029-2024openalex-snapshot

Deep-Pathfinder: a boundary layer height detection algorithm based on image segmentation

inferred← citeshttps://doi.org/10.7769/gesec.v16i12.5499openalex-snapshot

Sistema Autônomo de Fiscalização Viária: Detecção em Tempo Real de Ultrapassagens em Faixas Contínuas e Veículos em Contramão com OpenCV em Ambiente Simulado

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