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 1126–1150 of 2605 papers

TitleStatusHype
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles—0
SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge—0
End-to-End Lidar-Camera Self-Calibration for Autonomous Vehicles—0
A hierarchical adaptive nonlinear model predictive control approach for maximizing tire force usage in autonomous vehicles—0
Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving—0
SMART: A Decision-Making Framework with Multi-modality Fusion for Autonomous Driving Based on Reinforcement LearningCode1
Vehicle State Estimation and Prediction—0
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey—0
OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD MappingCode2
HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative perception with vision transformerCode1
Cyber Security in Smart Manufacturing (Threats, Landscapes Challenges)—0
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive ReviewCode2
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout—0
Perception Imitation: Towards Synthesis-free Simulator for Autonomous Vehicles—0
Optimal Robust Network Design: Formulations and Algorithms for Maximizing Algebraic ConnectivityCode1
RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario UnderstandingCode1
Neural Map Prior for Autonomous Driving—0
PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud PredictionCode1
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services—0
Survey on LiDAR Perception in Adverse Weather Conditions—0
Textual Explanations for Automated Commentary DrivingCode0
FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle SettingsCode0
Utilizing Neural Networks for Semantic Segmentation on RGB/LiDAR Fused Data for Off-road Autonomous Military Vehicle PerceptionCode0
Semantic Segmentation with High Inference Speed in Off-Road EnvironmentsCode0
Exact Set-valued Estimation using Constrained Convex Generators for uncertain Linear Systems—0
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Benchmark Results

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