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 4150 of 2605 papers

TitleStatusHype
trajdata: A Unified Interface to Multiple Human Trajectory DatasetsCode2
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive ReviewCode2
OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD MappingCode2
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative PerceptionCode2
Query-Centric Trajectory PredictionCode2
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera FusionCode2
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map GenerationCode2
BITS: Bi-level Imitation for Traffic SimulationCode2
LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of VehiclesCode2
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion TransformerCode2
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Benchmark Results

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