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 1551–1600 of 2605 papers

TitleStatusHype
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses—0
Safe Hierarchical Model Predictive Control and Planning for Autonomous Systems—0
Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change—0
Safe Multi-agent Reinforcement Learning with Natural Language Constraints—0
Safe Physics-Informed Machine Learning for Dynamics and Control—0
Safe platooning control of connected and autonomous vehicles on curved multi-lane roads—0
Safe Policy Exploration Improvement via Subgoals—0
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning—0
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts—0
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization—0
Safe Reinforcement Learning on Autonomous Vehicles—0
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving—0
Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing—0
Safety-Critical Stabilization of Force-Controlled Nonholonomic Mobile Robots—0
Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions—0
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving—0
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches—0
Safety of the Intended Driving Behavior Using Rulebooks—0
Safety Verification and Navigation for Autonomous Vehicles based on Signal Temporal Logic Constraints—0
SAGE: A Split-Architecture Methodology for Efficient End-to-End Autonomous Vehicle Control—0
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning—0
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset—0
SAPI: Surroundings-Aware Vehicle Trajectory Prediction at Intersections—0
SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices—0
Satellite Image Based Cross-view Localization for Autonomous Vehicle—0
Savvy: Trustworthy Autonomous Vehicles Architecture—0
Scalable and Interpretable Verification of Image-based Neural Network Controllers for Autonomous Vehicles—0
Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition—0
Scalable Decentralized Cooperative Platoon using Multi-Agent Deep Reinforcement Learning—0
Scalable Multirobot Planning for Informed Spatial Sampling—0
Scalable nonparametric Bayesian learning for heterogeneous and dynamic velocity fields—0
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles—0
Scaling Multi Agent Reinforcement Learning for Underwater Acoustic Tracking via Autonomous Vehicles—0
ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments—0
ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering—0
Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion—0
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction—0
ScieNet: Deep Learning with Spike-assisted Contextual Information Extraction—0
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks—0
SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs—0
SDNet: Semantically Guided Depth Estimation Network—0
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles—0
Secure Platooning of Autonomous Vehicles Under Attacked GPS Data—0
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward—0
Securing Traffic Sign Recognition Systems in Autonomous Vehicles—0
Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles—0
Security by Design Issues in Autonomous Vehicles—0
Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding—0
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models—0
Segment-Level Road Obstacle Detection Using Visual Foundation Model Priors and Likelihood Ratios—0
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Benchmark Results

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