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 1851–1875 of 6092 papers

TitleStatusHype
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive Learning—0
Ego Vehicle Speed Estimation using 3D Convolution with Masked Attention—0
BEV-Guided Multi-Modality Fusion for Driving Perception—0
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds—0
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors—0
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving—0
Exploring acceptance of autonomous vehicle policies using KeyBERT and SNA: Targeting engineering students—0
Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making—0
Eliminating Backdoors in Neural Code Models for Secure Code Understanding—0
Ellipse Loss for Scene-Compliant Motion Prediction—0
Embedded Acoustic Intelligence for Automotive Systems—0
Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection—0
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula—0
Embodied Laser Attack:Leveraging Scene Priors to Achieve Agent-based Robust Non-contact Attacks—0
Embodied AI-Driven Operation of Smart Cities: A Concise Review—0
Exploring Semi-Supervised Learning for Online Mapping—0
Embracing Single Stride 3D Object Detector with Sparse Transformer—0
EMD: Explicit Motion Modeling for High-Quality Street Gaussian Splatting—0
EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection—0
Emergency Vehicles Audio Detection and Localization in Autonomous Driving—0
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy—0
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey—0
An Adversarial Super-Resolution Remedy for Radar Design Trade-offs—0
EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding—0
DragTraffic: Interactive and Controllable Traffic Scene Generation for 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