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 1651–1675 of 2605 papers

TitleStatusHype
Emerging AI Security Threats for Autonomous Cars -- Case Studies—0
A General Framework to Forecast the Adoption of Novel Products: A Case of Autonomous Vehicles—0
ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles—0
Multi-Agent Variational Occlusion Inference Using People as SensorsCode1
Optimized self-adaptive PID speed control for autonomous vehiclesCode0
V2X Communication Between Connected and Automated Vehicles (CAVs) and Unmanned Aerial Vehicles (UAVs)—0
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering—0
Traffic Control in a Mixed Autonomy Scenario at Urban Intersections: An Optimization-based Framework—0
Identification of Vehicle Dynamics Parameters Using Simulation-based Inference—0
Estimation of Road Boundary for Intelligent Vehicles Based on DeepLabV3+ ArchitectureCode0
Addressing the IEEE AV Test Challenge with Scenic and VerifAI—0
Signal Injection Attacks against CCD Image SensorsCode1
Cooperative Localization Utilizing Reinforcement Learning for 5G Networks—0
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization—0
A Reinforcement Learning Approach for GNSS Spoofing Attack Detection of Autonomous Vehicles—0
A Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles—0
FSNet: A Failure Detection Framework for Semantic Segmentation—0
Towards Robust Human Trajectory Prediction in Raw Videos—0
A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized—0
Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains—0
An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation—0
Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera---IMU SystemCode1
Development of Simulation-based Lane Change Control System for Autonomous Vehicles—0
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles—0
Semantic Mobile Base Station Placement—0
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Benchmark Results

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