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 2726–2750 of 6092 papers

TitleStatusHype
I3DOD: Towards Incremental 3D Object Detection via Prompting—0
StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map ConstructionCode2
Perspective-aware Convolution for Monocular 3D Object DetectionCode0
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack—0
Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning—0
Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey—0
MV-DeepSDF: Implicit Modeling with Multi-Sweep Point Clouds for 3D Vehicle Reconstruction in Autonomous Driving—0
UniM^2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous DrivingCode1
Quantile-based Maximum Likelihood Training for Outlier DetectionCode0
Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield—0
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within DatasetsCode1
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation—0
BOTT: Box Only Transformer Tracker for 3D Object Tracking—0
XVTP3D: Cross-view Trajectory Prediction Using Shared 3D Queries for Autonomous Driving—0
Automatic Signboard Recognition in Low Quality Night Images—0
Sensor Fusion by Spatial Encoding for Autonomous Driving—0
Improving Anomaly Segmentation with Multi-Granularity Cross-Domain Alignment—0
InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping—0
CASPNet++: Joint Multi-Agent Motion Prediction—0
ADD: An Automatic Desensitization Fisheye Dataset for Autonomous Driving—0
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View RepresentationCode2
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack—0
A Review of Adversarial Attacks in Computer Vision—0
Exploiting Sparsity in Automotive Radar Object Detection Networks—0
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous DrivingCode1
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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