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 2151–2175 of 2605 papers

TitleStatusHype
Real-time Monocular Depth Estimation with Sparse Supervision on Mobile—0
Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning—0
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml—0
Real-time Structure Flow—0
ReasonNet: End-to-End Driving with Temporal and Global Reasoning—0
Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles—0
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review—0
Reconfigurable Intelligent Surface-Aided Joint Radar and Covert Communications: Fundamentals, Optimization, and Challenges—0
Rectification-specific Supervision and Constrained Estimator for Online Stereo Rectification—0
Redefining Automotive Radar Imaging: A Domain-Informed 1D Deep Learning Approach for High-Resolution and Efficient Performance—0
Redefining Safety for Autonomous Vehicles—0
Redesigning Large-Scale Multimodal Transit Networks with Shared Autonomous Mobility Services—0
Reducing the Environmental Impact of Wireless Communication via Probabilistic Machine Learning—0
Region-Transformer: Self-Attention Region Based Class-Agnostic Point Cloud Segmentation—0
Regulating human control over autonomous systems—0
Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving—0
Reinforcement Learning-based Optimal Control and Software Rejuvenation for Safe and Efficient UAV Navigation—0
Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment—0
Reinforcement Learning for Freeway Lane-Change Regulation via Connected Vehicles—0
Reinforcement Learning for Joint V2I Network Selection and Autonomous Driving Policies—0
Reinforcement Learning in Conflicting Environments for Autonomous Vehicles—0
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic—0
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles—0
Reliable, Routable, and Reproducible: Collection of Pedestrian Pathways at Statewide Scale—0
RePLAy: Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry—0
Show:102550
← PrevPage 87 of 105Next →

Benchmark Results

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