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 2031–2040 of 2605 papers

TitleStatusHype
Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design—0
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments—0
Integrated Longitudinal Speed Decision-Making and Energy Efficiency Control for Connected Electrified Vehicles—0
KPRNet: Improving projection-based LiDAR semantic segmentationCode1
Regulating human control over autonomous systems—0
Zero-Error Tracking for Autonomous Vehicles through Epsilon-Trajectory Generation—0
Autonomy and Unmanned Vehicles Augmented Reactive Mission-Motion Planning Architecture for Autonomous Vehicles—0
Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles—0
Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning—0
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Benchmark Results

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