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 351–400 of 2605 papers

TitleStatusHype
Robust Behavioral Cloning for Autonomous Vehicles using End-to-End Imitation LearningCode1
Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous VehiclesCode1
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 PandemicCode1
What-If Motion Prediction for Autonomous DrivingCode1
Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded PlatformCode1
ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based DataCode1
Traffic Control Gesture Recognition for Autonomous VehiclesCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
KPRNet: Improving projection-based LiDAR semantic segmentationCode1
Understanding Object Detection Through An Adversarial LensCode1
Multi-Agent Routing Value Iteration NetworkCode1
AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking LotCode1
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?Code1
Reinforcement Learning Under Moral UncertaintyCode1
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving CarsCode1
MANTRA: Memory Augmented Networks for Multiple Trajectory PredictionCode1
Sponge Examples: Energy-Latency Attacks on Neural NetworksCode1
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent FuturesCode1
VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance ChangeCode1
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM ExtensionCode1
Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNsCode1
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive EnvironmentsCode1
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban EnvironmentsCode1
A Baseline for the Commands For Autonomous Vehicles ChallengeCode1
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory RasterizationCode1
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