SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1201–1210 of 2605 papers

TitleStatusHype
Powertrain Hybridization for Autonomous Vehicles—0
Leveraging Topology for Domain Adaptive Road Segmentation in Satellite and Aerial Imagery—0
CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration—0
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction—0
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration—0
Interaction-Aware Decision-Making for Autonomous Vehicles in Forced Merging Scenario Leveraging Social Psychology Factors—0
DISeR: Designing Imaging Systems with Reinforcement Learning—0
Integrating Higher-Order Dynamics and Roadway-Compliance into Constrained ILQR-based Trajectory Planning for Autonomous Vehicles—0
Autonomous Vehicles an overview on system, cyber security, risks, issues, and a way forward—0
Implicit Sensing in Traffic Optimization: Advanced Deep Reinforcement Learning Techniques—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified