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

Showing 21512175 of 2605 papers

TitleStatusHype
PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM0
A Game-Theoretic Model of Human Driving and Application to Discretionary Lane-Changes0
Counterfactual Policy Evaluation for Decision-Making in Autonomous DrivingCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles0
Longitudinal Control of Vehicles in Traffic Microsimulation0
Learning to Optimize Autonomy in Competence-Aware Systems0
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models0
Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World0
Ford Multi-AV Seasonal DatasetCode1
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems0
Collaborative Motion Prediction via Neural Motion Message PassingCode1
Partial Weight Adaptation for Robust DNN Inference0
Group Activity Recognition by Using Effective Multiple Modality Relation Representation With Temporal-Spatial Attention0
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles0
A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles0
FormulaZero: Distributionally Robust Online Adaptation via Offline Population SynthesisCode0
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
A Multi-Modal States based Vehicle Descriptor and Dilated Convolutional Social Pooling for Vehicle Trajectory Prediction0
A machine learning environment for evaluating autonomous driving software0
Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles0
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization0
Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation0
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change ScenariosCode1
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic NavigationCode1
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Benchmark Results

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