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
Intent-Aware Autonomous Driving: A Case Study on Highway Merging Scenarios—0
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks—0
Data-driven Traffic Simulation: A Comprehensive Review—0
HGS-Mapping: Online Dense Mapping Using Hybrid Gaussian Representation in Urban Scenes—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
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation—0
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning—0
Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks—0
HeightFormer: Learning Height Prediction in Voxel Features for Roadside Vision Centric 3D Object Detection via Transformer—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
HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles—0
Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks—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
Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning—0
A Survey of Deep Learning Applications to Autonomous Vehicle Control—0
Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving—0
Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors—0
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Benchmark Results

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