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

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Showing 1001–1050 of 2605 papers

TitleStatusHype
Autonomous Vehicles as a Sensor: Simulating Data Collection Process—0
Evaluating Pedestrian Trajectory Prediction Methods with Respect to Autonomous Driving—0
Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous Driving—0
An Empirical Analysis of Range for 3D Object Detection—0
An Approximate Dynamic Programming Approach to Vehicle Platooning Coordination in Networks—0
Vehicle Motion Forecasting using Prior Information and Semantic-assisted Occupancy Grid Maps—0
Analytical Safety Bounds for Trajectory Following Controllers in Autonomous Vehicles—0
Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control—0
Robust Self-Supervised Extrinsic Self-Calibration—0
A Counterfactual Safety Margin Perspective on the Scoring of Autonomous Vehicles' RiskinessCode1
VG-SSL: Benchmarking Self-supervised Representation Learning Approaches for Visual Geo-localizationCode1
Detecting Out-of-distribution Objects Using Neuron Activation PatternsCode0
On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars—0
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach—0
Redesigning Large-Scale Multimodal Transit Networks with Shared Autonomous Mobility Services—0
A Comparative Analysis of Machine Learning Methods for Lane Change Intention Recognition Using Vehicle Trajectory Data—0
Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving—0
trajdata: A Unified Interface to Multiple Human Trajectory DatasetsCode2
Spatio-Temporal Domain Awareness for Multi-Agent Collaborative PerceptionCode1
Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems—0
Traffic Flow Simulation for Autonomous Driving—0
Adversarial Feature Map Pruning for BackdoorCode0
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving CarsCode1
Risk-optimized Outlier Removal for Robust 3D Point Cloud ClassificationCode1
Explaining Autonomous Driving Actions with Visual Question AnsweringCode1
Density-invariant Features for Distant Point Cloud RegistrationCode1
Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes—0
Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy WeatherCode1
Radar-STDA: A High-Performance Spatial-Temporal Denoising Autoencoder for Interference Mitigation of FMCW RadarsCode1
EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps—0
Adversarial Attacks on Traffic Sign Recognition: A Survey—0
Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGACode1
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning—0
LVLane: Deep Learning for Lane Detection and Classification in Challenging ConditionsCode1
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions—0
Estimating label quality and errors in semantic segmentation data via any model—0
Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle SafetyCode0
CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic SegmentationCode1
Autonomy 2.0: The Quest for Economies of Scale—0
Hypercongestion, autonomous vehicle, and urban spatial structure—0
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation—0
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation—0
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors—0
UnLoc: A Universal Localization Method for Autonomous Vehicles using LiDAR, Radar and/or Camera Input—0
Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization—0
Detection-segmentation convolutional neural network for autonomous vehicle perceptionCode1
Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithmsCode0
A Survey on Datasets for Decision-making of Autonomous Vehicle—0
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning—0
CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion—0
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Benchmark Results

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