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 3251–3275 of 6092 papers

TitleStatusHype
Semantic Communication for Cooperative Perception using HARQ—0
Semantic Communication for Edge Intelligence Enabled Autonomous Driving System—0
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments—0
Semantic Label Reduction Techniques for Autonomous Driving—0
SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances—0
Semantic Road Layout Understanding by Generative Adversarial Inpainting—0
Semantic Segmentation by Semantic Proportions—0
Semantic Segmentation for Thermal Images: A Comparative Survey—0
Semantic Segmentation of Radar Detections using Convolutions on Point Clouds—0
Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models—0
Semantic Segmentation using Vision Transformers: A survey—0
Semantics for Robotic Mapping, Perception and Interaction: A Survey—0
Semantic video segmentation for autonomous driving—0
Semi-supervised 3D Object Detection via Temporal Graph Neural Networks—0
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey—0
Semi-Supervised Regression with Generative Adverserial Networks for End to End Learning in Autonomous Driving—0
Semi-supervised Semantic Segmentation using Auxiliary Network—0
Exploiting Minority Pseudo-Labels for Semi-Supervised Semantic Segmentation in Autonomous Driving—0
SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous Driving—0
Sensing Hidden Vehicles by Exploiting Multi-Path V2V Transmission—0
Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield—0
Sensitivity-Informed Augmentation for Robust Segmentation—0
Sensor Data Validation and Driving Safety in Autonomous Driving Systems—0
Sensor Fusion by Spatial Encoding for Autonomous Driving—0
SEO: Safety-Aware Energy Optimization Framework for Multi-Sensor Neural Controllers at the Edge—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