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 1501–1510 of 2605 papers

TitleStatusHype
G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction SystemCode0
Censored Deep Reinforcement Patrolling with Information Criterion for Monitoring Large Water Resources using Autonomous Surface Vehicles—0
Road Slope Prediction and Vehicle Dynamics Control for Autonomous Vehicles—0
On the Forward Invariance of Neural ODEs—0
A Learning-based approach for bias elimination in low cost gyroscopes—0
Sparse Semantic Map-Based Monocular Localization in Traffic Scenes Using Learned 2D-3D Point-Line Correspondences—0
Safety Verification for Neural Networks Based on Set-boundary AnalysisCode0
Symmetry Defense Against CNN Adversarial Perturbation Attacks—0
On-line Motion Planning Using Bernstein Polynomials for Enhanced Target Localization in Autonomous Vehicles—0
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios—0
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Benchmark Results

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