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 1–10 of 6092 papers

TitleStatusHype
GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous DrivingCode0
AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework—0
Channel-wise Motion Features for Efficient Motion Segmentation—0
LaViPlan : Language-Guided Visual Path Planning with RLVR—0
Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models—0
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving—0
Safeguarding Federated Learning-based Road Condition Classification—0
Towards Autonomous Riding: A Review of Perception, Planning, and Control in Intelligent Two-Wheelers—0
A Survey on Interpretability in Visual Recognition—0
Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified