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 1951–2000 of 2605 papers

TitleStatusHype
A Computer Vision Approach for Autonomous Cars to Drive Safe at Construction Zone—0
A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts—0
A Convex Optimal Control Framework for Autonomous Vehicle Intersection Crossing—0
A Cooperation-Aware Lane Change Method for Autonomous Vehicles—0
A Cooperative Control Framework for CAV Lane Change in a Mixed Traffic Environment—0
Action and intention recognition of pedestrians in urban traffic—0
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning—0
On-line Motion Planning Using Bernstein Polynomials for Enhanced Target Localization in Autonomous Vehicles—0
A C-V2X Platform Using Transportation Data and Spectrum-Aware Sidelink Access—0
Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems—0
Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective—0
Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors—0
Adaptive Communications in Collaborative Perception with Domain Alignment for Autonomous Driving—0
Adaptive Control for Unknown Heterogeneous Vehicles Synchronization with Unstructured Uncertainty—0
Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery—0
Adaptive Event-triggered Formation Control of Autonomous Vehicles—0
Adaptive Failure Search Using Critical States from Domain Experts—0
Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset—0
Adaptive Optimization of Autonomous Vehicle Computational Resources for Performance and Energy Improvement—0
Adaptive Pulse Compression for Sidelobes Reduction in Stretch Processing based MIMO Radars—0
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning—0
Adaptive Stress Testing for Autonomous Vehicles—0
Adaptive Target Tracking Using Retrospective Cost Input Estimation—0
A Data-Driven Slip Estimation Approach for Effective Braking Control under Varying Road Conditions—0
A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets—0
A Dataset for Lane Instance Segmentation in Urban Environments—0
ADCNet: Learning from Raw Radar Data via Distillation—0
Addressing Data Annotation Challenges in Multiple Sensors: A Solution for Scania Collected Datasets—0
Addressing the IEEE AV Test Challenge with Scenic and VerifAI—0
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles—0
A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems—0
A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning—0
ADoPT: LiDAR Spoofing Attack Detection Based on Point-Level Temporal Consistency—0
A Driver Behavior Modeling Structure Based on Non-parametric Bayesian Stochastic Hybrid Architecture—0
A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving—0
Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery—0
Advancing Autonomous Vehicle Intelligence: Deep Learning and Multimodal LLM for Traffic Sign Recognition and Robust Lane Detection—0
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap—0
Advantage Alignment Algorithms—0
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction—0
Adver-City: Open-Source Multi-Modal Dataset for Collaborative Perception Under Adverse Weather Conditions—0
Adversarial 3D Virtual Patches using Integrated Gradients—0
Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection—0
Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain—0
Adversarial Attacks on Traffic Sign Recognition: A Survey—0
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios—0
Adversarial Examples: Opportunities and Challenges—0
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems—0
Adversarial Patterns: Building Robust Android Malware Classifiers—0
Adversarial Plannning—0
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Benchmark Results

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