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 1171–1180 of 2605 papers

TitleStatusHype
Infrastructure-based End-to-End Learning and Prevention of Driver Failure—0
ADCNet: Learning from Raw Radar Data via Distillation—0
Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces—0
Quantifying the Value of Preview Information for Safety Control—0
Social Occlusion Inference with Vectorized Representation for Autonomous Driving—0
Tackling Clutter in Radar Data -- Label Generation and Detection Using PointNet++Code1
Trajectory-Prediction with Vision: A Survey—0
Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph ConstructionCode1
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative PerceptionCode2
Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving—0
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Benchmark Results

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