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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 971–980 of 2605 papers

TitleStatusHype
SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices—0
Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy—0
ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data—0
Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach—0
Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection—0
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous RoboticsCode0
Semi-Supervised Learning for Visual Bird's Eye View Semantic SegmentationCode1
ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure EventsCode0
Semi-Supervised Semantic Depth Estimation using Symbiotic Transformer and NearFarMix Augmentation—0
Reinforcement Learning-based Optimal Control and Software Rejuvenation for Safe and Efficient UAV Navigation—0
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Benchmark Results

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