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 376–400 of 2605 papers

TitleStatusHype
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving ApplicationsCode1
Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental StudyCode1
TensorFI: A Flexible Fault Injection Framework for TensorFlow ApplicationsCode1
Predicting Semantic Map Representations from Images using Pyramid Occupancy NetworksCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
Counterfactual Policy Evaluation for Decision-Making in Autonomous DrivingCode1
Ford Multi-AV Seasonal DatasetCode1
Collaborative Motion Prediction via Neural Motion Message PassingCode1
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change ScenariosCode1
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic NavigationCode1
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory PredictionCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving ImagesCode1
Spatiotemporal Relationship Reasoning for Pedestrian Intent PredictionCode1
Learning to Move with Affordance MapsCode1
RangeNet++: Fast and Accurate LiDAR Semantic SegmentationCode1
Tree-based Intelligent Intrusion Detection System in Internet of VehiclesCode1
A General Framework of Learning Multi-Vehicle Interaction Patterns from VideosCode1
LEAF: A Benchmark for Federated SettingsCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
Counterfactual Multi-Agent Policy GradientsCode1
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous VehiclesCode1
Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios—0
Fast and Accurate Collision Probability Estimation for Autonomous Vehicles using Adaptive Sigma-Point Sampling—0
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Benchmark Results

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