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 1801–1850 of 2605 papers

TitleStatusHype
Neural Network Based Model Predictive Control for an Autonomous Vehicle—0
Towards Data-Driven Synthesis of Autonomous Vehicle Safety Concepts—0
The Reasonable Crowd: Towards evidence-based and interpretable models of driving behaviorCode0
Dynamic and Static Object Detection Considering Fusion Regions and Point-wise Features—0
AA3DNet: Attention Augmented Real Time 3D Object Detection—0
CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images—0
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning—0
SAGE: A Split-Architecture Methodology for Efficient End-to-End Autonomous Vehicle Control—0
mmPose-NLP: A Natural Language Processing Approach to Precise Skeletal Pose Estimation using mmWave Radars—0
Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks—0
Routing Autonomous Emergency Vehicles in Smart Cities Using Real Time Systems Analogy: A Conceptual Model—0
Dynamic Prioritization of Emergency Vehicles For Self-Organizing Traffic using VTL+EV *—0
Cooperative Multi-Modal Localization in Connected and Autonomous Vehicles—0
Is attention to bounding boxes all you need for pedestrian action prediction?Code0
Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning—0
CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking—0
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial PerturbationsCode0
ARC: Adversarially Robust Control Policies for Autonomous VehiclesCode0
Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios—0
Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving—0
A Highway Toll Lane Framework that Unites Autonomous Vehicles and High-occupancy Vehicles—0
4C: A Computation, Communication, and Control Co-Design Framework for CAVs—0
Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook—0
Analysis and Control of Autonomous Mobility-on-Demand Systems—0
FRaC: FMCW-Based Joint Radar-Communications System via Index Modulation—0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
Arbitrary Angle of Arrival in Radar Target Simulation—0
Gaussian Process-based Model Predictive Controller for Connected Vehicles with Uncertain Wireless Channel—0
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers—0
Robust EMRAN-aided Coupled Controller for Autonomous Vehicles—0
Coherent, super resolved radar beamforming using self-supervised learning—0
Cylindrical coordinates for LiDAR point cloud compression—0
Place recognition survey: An update on deep learning approaches—0
AttDLNet: Attention-based DL Network for 3D LiDAR Place RecognitionCode0
CROP: Certifying Robust Policies for Reinforcement Learning through Functional SmoothingCode0
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions—0
Temporal Consistency Checks to Detect LiDAR Spoofing Attacks on Autonomous Vehicle Perception—0
Deterministic Guided LiDAR Depth Map Completion—0
Experimental Analysis of Trajectory Control Using Computer Vision and Artificial Intelligence for Autonomous Vehicles—0
Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles—0
Courteous Behavior of Automated Vehicles at Unsignalized Intersections via Reinforcement Learning—0
Taxonomy of Machine Learning Safety: A Survey and Primer—0
A Direct Slip Ratio Estimation Method based on an Intelligent Tire and Machine Learning—0
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles—0
CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation—0
Don't Get Yourself into Trouble! Risk-aware Decision-Making for Autonomous Vehicles—0
Semantically Adversarial Scenario Generation with Explicit Knowledge Guidance—0
Safe Deep Q-Network for Autonomous Vehicles at Unsignalized Intersection—0
Deterministic Iteratively Built KD-Tree with KNN Search for Exact ApplicationsCode0
Spectral Temporal Graph Neural Network for Trajectory Prediction—0
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Benchmark Results

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