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 1601–1610 of 2605 papers

TitleStatusHype
Long-Range Route-planning for Autonomous Vehicles in the Polar Oceans—0
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles—0
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation—0
Concepts for Automated Machine Learning in Smart Grid Applications—0
Multi-Stream Attention Learning for Monocular Vehicle Velocity and Inter-Vehicle Distance Estimation—0
Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain AdaptationCode1
Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera DataCode1
Bootstrapping confidence in future safety based on past safe operation—0
Data-Driven Predictive Control for Connected and Autonomous Vehicles in Mixed Traffic—0
Can CAV Reduce Non-Recurrent Urban Road Congestion?—0
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Benchmark Results

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