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 1026–1050 of 2605 papers

TitleStatusHype
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
Show:102550
← PrevPage 42 of 105Next →

Benchmark Results

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