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 901–950 of 2605 papers

TitleStatusHype
Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout—0
K-SMPC: Koopman Operator-Based Stochastic Model Predictive Control for Enhanced Lateral Control of Autonomous Vehicles—0
Towards Scenario-based Safety Validation for Autonomous Trains with Deep Generative Models—0
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles—0
Hybrid System Stability Analysis of Multi-Lane Mixed-Autonomy Traffic—0
Interaction-aware Traffic Prediction and Scenario-based Model Predictive Control for Autonomous Vehicles on Highways—0
End-to-end Evaluation of Practical Video Analytics Systems for Face Detection and Recognition—0
CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion—0
Federated Self-Supervised Learning of Monocular Depth Estimators for Autonomous Vehicles—0
Towards Long-Range 3D Object Detection for Autonomous Vehicles—0
The WayHome: Long-term Motion Prediction on Dynamically Scaled—0
TWICE Dataset: Digital Twin of Test Scenarios in a Controlled Environment—0
V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges—0
Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study—0
5G Network Slicing: Analysis of Multiple Machine Learning Classifiers—0
RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving—0
LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis—0
PC-NeRF: Parent-Child Neural Radiance Fields under Partial Sensor Data Loss in Autonomous Driving EnvironmentsCode1
GPT-Driver: Learning to Drive with GPTCode2
Deep Reinforcement Learning for Autonomous Vehicle Intersection Navigation—0
Powertrain Hybridization for Autonomous Vehicles—0
MotionLM: Multi-Agent Motion Forecasting as Language ModelingCode1
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language ModelsCode2
Leveraging Topology for Domain Adaptive Road Segmentation in Satellite and Aerial Imagery—0
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 19 of 53Next →

Benchmark Results

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