SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2351–2400 of 6092 papers

TitleStatusHype
Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network—0
Deep Neural Networks for Computational Optical Form Measurements—0
Deep Neural Networks and PIDE discretizations—0
Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey—0
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge—0
Deep Neural Network Perception Models and Robust Autonomous Driving Systems—0
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention—0
A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives—0
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction—0
Deep Multi-Sensor Lane Detection—0
AIBA: An AI Model for Behavior Arbitration in Autonomous Driving—0
3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation—0
Deep Model Compression Via Two-Stage Deep Reinforcement Learning—0
DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation—0
Automotive RADAR sub-sampling via object detection networks: Leveraging prior signal information—0
Deep Material Recognition in Light-Fields via Disentanglement of Spatial and Angular Information—0
Automotive Radar Mutual Interference Mitigation Based on Hough Transform in Time-Frequency Domain—0
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving—0
Effect of Fog Particle Size Distribution on 3D Object Detection Under Adverse Weather Conditions—0
Deep Lidar CNN to Understand the Dynamics of Moving Vehicles—0
Deep LG-Track: An Enhanced Localization-Confidence-Guided Multi-Object Tracker—0
Automotive Radar Interference Mitigation with Unfolded Robust PCA based on Residual Overcomplete Auto-Encoder Blocks—0
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview—0
AutoMine: An Unmanned Mine Dataset—0
Automating Vehicles by Deep Reinforcement Learning using Task Separation with Hill Climbing—0
Deep Learning for Multi-View Stereo via Plane Sweep: A Survey—0
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review—0
Automatic Signboard Recognition in Low Quality Night Images—0
A Hybrid Graph Network for Complex Activity Detection in Video—0
Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving—0
Holistic Grid Fusion Based Stop Line Estimation—0
How to Build a Pre-trained Multimodal model for Simultaneously Chatting and Decision-making?—0
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review—0
Deep Learning for Embodied Vision Navigation: A Survey—0
Automatic Rule Learning for Autonomous Driving Using Semantic Memory—0
Automatic parking planning control method based on improved A* algorithm—0
A Hybrid Defense Strategy for Boosting Adversarial Robustness in Vision-Language Models—0
Deep learning for 3D Object Detection and Tracking in Autonomous Driving: A Brief Survey—0
Automatic Map Update Using Dashcam Videos—0
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment—0
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review—0
Automatic Image Annotation for Mapped Features Detection—0
A Hybrid Approach for Extending Automotive Radar Operation to NLOS Urban Scenarios—0
Deep-Learning-Based Single-Image Height Reconstruction from Very-High-Resolution SAR Intensity Data—0
Deep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave Radar and Camera Sensors—0
Automatic Generation of Scenarios for System-level Simulation-based Verification of Autonomous Driving Systems—0
Deep-learning-based on-chip rapid spectral imaging with high spatial resolution—0
Deep Learning Based Intelligent Inter-Vehicle Distance Control for 6G Enabled Cooperative Autonomous Driving—0
Automatic driving lane change safety prediction model based on LSTM—0
A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified