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 1351–1375 of 2605 papers

TitleStatusHype
Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving—0
DeepSTEP -- Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles—0
SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous DrivingCode0
A New Era of Mobility: Exploring Digital Twin Applications in Autonomous Vehicular Systems—0
Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model—0
Latest Trends in Artificial Intelligence Technology: A Scoping Review—0
Decentralized Vehicle Coordination and Lane Switching without Switching of Controllers—0
Friction-Adaptive Stochastic Nonlinear Model Predictive Control for Autonomous Vehicles—0
Enabling High-Precision 5G mmWave-Based Positioning for Autonomous Vehicles in Dense Urban Environments—0
Integrated 5G mmWave Positioning in Deep Urban Environments: Advantages and Challenges—0
ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering—0
Local and Global Contextual Features Fusion for Pedestrian Intention Prediction—0
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object DetectionCode0
Decision Making for Autonomous Vehicles—0
SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge—0
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles—0
Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving—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
Vehicle State Estimation and Prediction—0
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey—0
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout—0
Cyber Security in Smart Manufacturing (Threats, Landscapes Challenges)—0
Perception Imitation: Towards Synthesis-free Simulator for Autonomous Vehicles—0
Neural Map Prior for Autonomous Driving—0
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Benchmark Results

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