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

Showing 42114220 of 6092 papers

TitleStatusHype
Context-Aware Streaming Perception in Dynamic EnvironmentsCode0
An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection0
Multi-modal Transformer Path Prediction for Autonomous Vehicle0
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation0
Trustworthy Federated Learning via Blockchain0
Towards 6G-V2X: Aggregated RF-VLC for Ultra-Reliable and Low-Latency Autonomous Driving0
Optimizing Anchor-based Detectors for Autonomous Driving Scenes0
VectorFlow: Combining Images and Vectors for Traffic Occupancy and Flow Prediction0
RadSegNet: A Reliable Approach to Radar Camera Fusion0
All-optical image classification through unknown random diffusers using a single-pixel diffractive network0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified