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 2426–2450 of 6092 papers

TitleStatusHype
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook—0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer—0
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios—0
A Hierarchical MPC Approach to Car-Following via Linearly Constrained Quadratic Programming—0
Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving—0
Deep Learning Accelerator in Loop Reliability Evaluation for Autonomous Driving—0
Formal Certification Methods for Automated Vehicle Safety Assessment—0
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems—0
A Hierarchical Image Analysis for Extracting Parking Lot Structures from Aerial Images—0
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection—0
Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping—0
Automated Parking Planning with Vision-Based BEV Approach—0
Deep Instance Segmentation with Automotive Radar Detection Points—0
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning—0
3D Object Proposals using Stereo Imagery for Accurate Object Class Detection—0
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing—0
DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior—0
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment—0
Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding—0
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving—0
Deep Event-based Object Detection in Autonomous Driving: A Survey—0
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving—0
Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving—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