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 1201–1225 of 2605 papers

TitleStatusHype
Powertrain Hybridization for Autonomous Vehicles—0
Leveraging Topology for Domain Adaptive Road Segmentation in Satellite and Aerial Imagery—0
CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration—0
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration—0
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction—0
Interaction-Aware Decision-Making for Autonomous Vehicles in Forced Merging Scenario Leveraging Social Psychology Factors—0
Integrating Higher-Order Dynamics and Roadway-Compliance into Constrained ILQR-based Trajectory Planning for Autonomous Vehicles—0
DISeR: Designing Imaging Systems with Reinforcement Learning—0
Autonomous Vehicles an overview on system, cyber security, risks, issues, and a way forward—0
Implicit Sensing in Traffic Optimization: Advanced Deep Reinforcement Learning Techniques—0
Hierarchical Imitation Learning for Stochastic Environments—0
Interpretable and Flexible Target-Conditioned Neural Planners For Autonomous Vehicles—0
An Optimal Control Framework for Influencing Human Driving Behavior in Mixed-Autonomy Traffic—0
Intent-Aware Autonomous Driving: A Case Study on Highway Merging Scenarios—0
Trip Planning for Autonomous Vehicles with Wireless Data Transfer Needs Using Reinforcement Learning—0
Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation—0
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset—0
Reducing the Environmental Impact of Wireless Communication via Probabilistic Machine Learning—0
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles—0
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs—0
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?—0
Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem—0
Conditioning Latent-Space Clusters for Real-World Anomaly Classification—0
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling—0
Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation—0
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Benchmark Results

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