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

Showing 5160 of 2605 papers

TitleStatusHype
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse TransformersCode2
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D ConvolutionsCode2
Slim-neck by GSConv: A lightweight-design for real-time detector architecturesCode2
READ: Large-Scale Neural Scene Rendering for Autonomous DrivingCode2
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision TransformerCode2
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with TransformersCode2
A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of VehiclesCode2
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion PredictionCode2
Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3DCode2
LGSVL Simulator: A High Fidelity Simulator for Autonomous DrivingCode2
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Benchmark Results

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