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 5401–5425 of 6092 papers

TitleStatusHype
Fault-Tolerant Deep Learning: A Hierarchical Perspective—0
FBNet: Feature Balance Network for Urban-Scene Segmentation—0
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds—0
Feature Based Methods in Domain Adaptation for Object Detection: A Review Paper—0
Feature Map Convergence Evaluation for Functional Module—0
Feature Preserving and Uniformity-controllable Point Cloud Simplification on Graph—0
FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving—0
Federated Data-Driven Kalman Filtering for State Estimation—0
Federated Ensemble Model-based Reinforcement Learning in Edge Computing—0
Federated Learning-based Semantic Segmentation for Lane and Object Detection in Autonomous Driving—0
Federated Learning in Vehicular Networks—0
Federated Transfer Reinforcement Learning for Autonomous Driving—0
Feedback-Guided Autonomous Driving—0
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving—0
Few-shot Backdoor Defense Using Shapley Estimation—0
Few-Shot Meta-Learning on Point Cloud for Semantic Segmentation—0
Few-shot Non-line-of-sight Imaging with Signal-surface Collaborative Regularization—0
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification—0
Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges—0
Few-Shot Task Learning through Inverse Generative Modeling—0
FFINet: Future Feedback Interaction Network for Motion Forecasting—0
Tracklets Predicting Based Adaptive Graph Tracking—0
FGU3R: Fine-Grained Fusion via Unified 3D Representation for Multimodal 3D Object Detection—0
FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition—0
Fight fire with fire: countering bad shortcuts in imitation learning with good shortcuts—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