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 1276–1300 of 2605 papers

TitleStatusHype
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks—0
Data-driven Traffic Simulation: A Comprehensive Review—0
Intent-Aware Autonomous Driving: A Case Study on Highway Merging Scenarios—0
A Direct Slip Ratio Estimation Method based on an Intelligent Tire and Machine Learning—0
Interaction-Aware Decision-Making for Autonomous Vehicles in Forced Merging Scenario Leveraging Social Psychology Factors—0
Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios—0
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks—0
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges—0
Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks—0
Data-Driven Predictive Control for Connected and Autonomous Vehicles in Mixed Traffic—0
Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarios—0
Interaction Dataset of Autonomous Vehicles with Traffic Lights and Signs—0
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation—0
Interactive Decision Making for Autonomous Vehicles in Dense Traffic—0
Interactive Joint Planning for Autonomous Vehicles—0
Intelligent Autonomous Intersection Management—0
Intelligent Acoustic Module for Autonomous Vehicles using Fast Gated Recurrent approach—0
Intermodal Network of Autonomous Mobility-on-Demand and Micromobility Systems—0
Interpretable and Flexible Target-Conditioned Neural Planners For Autonomous Vehicles—0
Interpretable Classification of Time-Series Data using Efficient Enumerative Techniques—0
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory—0
Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network—0
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms—0
Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving—0
A Lane Merge Coordination Model for a V2X Scenario—0
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Benchmark Results

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