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 2201–2210 of 2605 papers

TitleStatusHype
Cooperative LIDAR Object Detection via Feature Sharing in Deep Networks—0
Learning a Directional Soft Lane Affordance Model for Road Scenes Using Self-Supervision—0
Performance Analysis of RSU-based Multihomed Multilane Vehicular Networks—0
Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network—0
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic—0
Adaptive Control for Unknown Heterogeneous Vehicles Synchronization with Unstructured Uncertainty—0
Self-explaining AI as an alternative to interpretable AI—0
Vehicle Driving AssistantCode0
Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles—0
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles—0
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Benchmark Results

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