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

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Showing 1231–1240 of 2605 papers

TitleStatusHype
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving—0
Hierarchical Game-Theoretic Planning for Autonomous Vehicles—0
Improving the Environmental Perception of Autonomous Vehicles using Deep Learning-based Audio Classification—0
Improving Urban Mobility: using artificial intelligence and new technologies to connect supply and demand—0
Conversational Intent Understanding for Passengers in Autonomous Vehicles—0
Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy—0
Cross Dataset Analysis and Network Architecture Repair for Autonomous Car Lane Detection—0
A hierarchical adaptive nonlinear model predictive control approach for maximizing tire force usage in autonomous vehicles—0
Incorporating ESO into Deep Koopman Operator Modelling for Control of Autonomous Vehicles—0
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving—0
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Benchmark Results

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