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 926–950 of 2605 papers

TitleStatusHype
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction—0
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration—0
CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration—0
Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman FilterCode1
Semantic Map Learning of Traffic Light to Lane Assignment based on Motion DataCode1
Integrating Higher-Order Dynamics and Roadway-Compliance into Constrained ILQR-based Trajectory Planning for Autonomous Vehicles—0
Implicit Sensing in Traffic Optimization: Advanced Deep Reinforcement Learning Techniques—0
Interaction-Aware Decision-Making for Autonomous Vehicles in Forced Merging Scenario Leveraging Social Psychology Factors—0
Hierarchical Imitation Learning for Stochastic Environments—0
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable EnvironmentsCode1
Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous DrivingCode1
DISeR: Designing Imaging Systems with Reinforcement Learning—0
Autonomous Vehicles an overview on system, cyber security, risks, issues, and a way forward—0
Continual Driving Policy Optimization with Closed-Loop Individualized CurriculaCode1
An Optimal Control Framework for Influencing Human Driving Behavior in Mixed-Autonomy Traffic—0
Interpretable and Flexible Target-Conditioned Neural Planners For Autonomous Vehicles—0
Intent-Aware Autonomous Driving: A Case Study on Highway Merging Scenarios—0
On Data Fabrication in Collaborative Vehicular Perception: Attacks and CountermeasuresCode1
Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation—0
Trip Planning for Autonomous Vehicles with Wireless Data Transfer Needs Using Reinforcement Learning—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
Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem—0
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?—0
Show:102550
← PrevPage 38 of 105Next →

Benchmark Results

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