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 3676–3700 of 6092 papers

TitleStatusHype
Deep Learning-based Embedded Intrusion Detection System for Automotive CAN—0
Deep Learning Based Intelligent Inter-Vehicle Distance Control for 6G Enabled Cooperative Autonomous Driving—0
Deep-learning-based on-chip rapid spectral imaging with high spatial resolution—0
Deep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave Radar and Camera Sensors—0
Deep-Learning-Based Single-Image Height Reconstruction from Very-High-Resolution SAR Intensity Data—0
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review—0
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment—0
Deep learning for 3D Object Detection and Tracking in Autonomous Driving: A Brief Survey—0
Deep Learning for Embodied Vision Navigation: A Survey—0
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review—0
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review—0
Deep Learning for Multi-View Stereo via Plane Sweep: A Survey—0
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview—0
Deep LG-Track: An Enhanced Localization-Confidence-Guided Multi-Object Tracker—0
Deep Lidar CNN to Understand the Dynamics of Moving Vehicles—0
Deep Material Recognition in Light-Fields via Disentanglement of Spatial and Angular Information—0
DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation—0
Deep Model Compression Via Two-Stage Deep Reinforcement Learning—0
Deep Multi-Sensor Lane Detection—0
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction—0
Deep Neural Network Perception Models and Robust Autonomous Driving Systems—0
Deep Neural Networks and PIDE discretizations—0
Deep Neural Networks for Computational Optical Form Measurements—0
Deep Neural Networks with Koopman Operators for Modeling and Control of Autonomous Vehicles—0
Deep Object-Centric Policies for Autonomous Driving—0
Show:102550
← PrevPage 148 of 244Next →
All datasetsCARLA LeaderboardTown05 LongTown05 Short

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