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 4981–4990 of 6092 papers

TitleStatusHype
Quadric Representations for LiDAR Odometry, Mapping and Localization—0
Quality at the Tail of Machine Learning Inference—0
Quantitative Evaluation of a Multi-Modal Camera Setup for Fusing Event Data with RGB Images—0
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction—0
Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control—0
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations—0
Querying Labeled Time Series Data with Scenario Programs—0
QuFeX: Quantum feature extraction module for hybrid quantum-classical deep neural networks—0
Q-YOLOP: Quantization-aware You Only Look Once for Panoptic Driving Perception—0
R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild—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