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 1526–1550 of 2605 papers

TitleStatusHype
Robust Stochastic Graph Generator for Counterfactual Explanations—0
Robust Tube-based Control Strategy for Vision-guided Autonomous Vehicles—0
RONELDv2: A faster, improved lane tracking method—0
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks—0
Routing Autonomous Emergency Vehicles in Smart Cities Using Real Time Systems Analogy: A Conceptual Model—0
RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving—0
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving—0
RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization—0
RTI-NMPC for Control of Autonomous Vehicles Using Implicit Discretization Methods—0
Real-time Monocular Depth Estimation on Embedded Systems—0
RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks—0
R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured Pruning—0
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting—0
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation—0
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation—0
S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles—0
Safe and Efficient CAV Lane Changing using Decentralised Safety Shields—0
Safe and Efficient Coexistence of Autonomous Vehicles with Human-Driven Traffic at Signalized Intersections—0
Safe and Human-Like Autonomous Driving: A Predictor-Corrector Potential Game Approach—0
SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles—0
Safe Control under Uncertainty—0
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning—0
Safe Deep Q-Network for Autonomous Vehicles at Unsignalized Intersection—0
SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models—0
Safe Driving Capacity of Autonomous Vehicles—0
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Benchmark Results

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