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 12611270 of 2605 papers

TitleStatusHype
Multiagent Reinforcement Learning for Autonomous Routing and Pickup Problem with Adaptation to Variable Demand0
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map GenerationCode2
SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement0
Far3Det: Towards Far-Field 3D Detection0
Benchmarking Adversarially Robust Quantum Machine Learning at Scale0
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes0
LoopDA: Constructing Self-loops to Adapt Nighttime Semantic SegmentationCode0
Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent TransformerCode1
CoPEM: Cooperative Perception Error Models for Autonomous Driving0
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective0
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Benchmark Results

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