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 2071–2080 of 6092 papers

TitleStatusHype
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling—0
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems—0
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning—0
AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving—0
A Survey of Fragile Model Watermarking—0
DiVE: DiT-based Video Generation with Enhanced Control—0
Disturbing Reinforcement Learning Agents with Corrupted Rewards—0
Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving—0
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving—0
A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data—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