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 1551–1600 of 2605 papers

TitleStatusHype
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehiclesCode1
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving—0
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions—0
Learning to integrate vision data into road network data—0
Fast and Robust Registration of Partially Overlapping Point CloudsCode1
Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Adversarial Disturbance Sequences—0
Human-vehicle Cooperative Visual Perception for Autonomous Driving under Complex Road and Traffic Scenarios—0
Formal Estimation of Collision Risks for Autonomous Vehicles: A Compositional Data-Driven Approach—0
Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarios—0
Cooperation for Scalable Supervision of Autonomy in Mixed Traffic—0
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensityCode1
A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study—0
3D Scene Understanding at Urban Intersection using Stereo Vision and Digital Map—0
Monitoring and Adapting the Physical State of a Camera for Autonomous VehiclesCode1
Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction—0
A Shared Representation for Photorealistic Driving SimulatorsCode1
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior—0
Do Pedestrians Pay Attention? Eye Contact Detection in the WildCode1
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless NetworksCode1
Intelligent Acoustic Module for Autonomous Vehicles using Fast Gated Recurrent approach—0
Self-Supervised Camera Self-Calibration from Video—0
A Risk-Averse Preview-based Q-Learning Algorithm: Application to Highway Driving of Autonomous Vehicles—0
Neural Network and ANFIS based auto-adaptive MPC for path tracking in autonomous vehiclesCode1
PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous CarCode1
Learning a Robust Multiagent Driving Policy for Traffic Congestion ReductionCode0
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