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 1876–1900 of 2605 papers

TitleStatusHype
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing—0
Observability of the relative motion from inertial data in kinematic chains—0
Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning—0
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles—0
Moral and Social Ramifications of Autonomous Vehicles—0
Personalization and Recommendation Technologies for MaaS—0
RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization—0
Autonomous Vehicle Convoy Control as a Differential Game—0
Object Tracking by Detection with Visual and Motion CuesCode1
Dissonance Between Human and Machine Understanding—0
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning—0
Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles—0
Shape Back-Projection In 3D Scenes—0
Black-box Adversarial Attacks in Autonomous Vehicle Technology—0
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
Video action recognition for lane-change classification and prediction of surrounding vehicles—0
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN—0
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots—0
Channel Boosting Feature Ensemble for Radar-based Object Detection—0
Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing—0
Approaching Neural Network Uncertainty Realism—0
SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning—0
A Hybrid Learner for Simultaneous Localization and Mapping—0
Smart Black Box 2.0: Efficient High-bandwidth Driving Data Collection based on Video Anomalies—0
Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting—0
Show:102550
← PrevPage 76 of 105Next →

Benchmark Results

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