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 38813890 of 6092 papers

TitleStatusHype
Driving Datasets Literature Review0
Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning0
Driving Everywhere with Large Language Model Policy Adaptation0
Driving in Real Life with Inverse Reinforcement Learning0
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving0
Driving Policy Transfer via Modularity and Abstraction0
Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications0
Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation0
DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios0
Driving Through Ghosts: Behavioral Cloning with False Positives0
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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