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 1276–1300 of 2605 papers

TitleStatusHype
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
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
Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes—0
EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps—0
Adversarial Attacks on Traffic Sign Recognition: A Survey—0
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning—0
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions—0
Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle SafetyCode0
Estimating label quality and errors in semantic segmentation data via any model—0
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
UnLoc: A Universal Localization Method for Autonomous Vehicles using LiDAR, Radar and/or Camera Input—0
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors—0
Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization—0
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
Show:102550
← PrevPage 52 of 105Next →

Benchmark Results

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