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 1576–1600 of 2605 papers

TitleStatusHype
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction—0
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving—0
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation—0
Point Cloud Segmentation Using Sparse Temporal Local Attention—0
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles—0
Recurrent Bayesian Classifier Chains for Exact Multi-Label ClassificationCode0
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual InformationCode1
Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learningCode0
Jointly Learning Agent and Lane Information for Multimodal Trajectory Prediction—0
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous VehiclesCode1
Deep Probability Estimation—0
Towards Safe, Explainable, and Regulated Autonomous Driving—0
LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving—0
DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior—0
CAR -- Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous VehiclesCode0
LoS-Map Construction for Proactive Relay of Opportunity Selection in 6G V2X Systems—0
Multimodal Virtual Point 3D DetectionCode1
Optimized adaptive MPC for lateral control of autonomous vehiclesCode1
Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic—0
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision PredictionCode1
Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection—0
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods—0
Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline—0
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative ModelsCode0
DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder—0
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Benchmark Results

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