SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle 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: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

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Showing 5151–5200 of 6092 papers

TitleStatusHype
RGM: Reconstructing High-fidelity 3D Car Assets with Relightable 3D-GS Generative Model from a Single Image—0
RHRSegNet: Relighting High-Resolution Night-Time Semantic Segmentation—0
RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding—0
RIFT: Closed-Loop RL Fine-Tuning for Realistic and Controllable Traffic Simulation—0
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures—0
RING#: PR-by-PE Global Localization with Roto-translation Equivariant Gram Learning—0
RIS Beam Calibration for ISAC Systems: Modeling and Performance Analysis—0
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning—0
Risk-averse Behavior Planning for Autonomous Driving under Uncertainty—0
Risk-Averse Trust Region Optimization for Reward-Volatility Reduction—0
Risk-Aware Autonomous Driving with Linear Temporal Logic Specifications—0
Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications—0
Risk-aware Safe Control for Decentralized Multi-agent Systems via Dynamic Responsibility Allocation—0
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios—0
Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving—0
Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling—0
Risk of Stochastic Systems for Temporal Logic Specifications—0
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path—0
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow—0
RLAD: Reinforcement Learning from Pixels for Autonomous Driving in Urban Environments—0
R-LiViT: A LiDAR-Visual-Thermal Dataset Enabling Vulnerable Road User Focused Roadside Perception—0
RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression—0
RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement—0
RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features—0
ROA-BEV: 2D Region-Oriented Attention for BEV-based 3D Object—0
Road-aware Monocular Structure from Motion and Homography Estimation—0
Road Boundary Detection Using 4D mmWave Radar for Autonomous Driving—0
Road Detection by One-Class Color Classification: Dataset and Experiments—0
Road Detection Technique Using Filters with Application to Autonomous Driving System—0
Road Detection through Supervised Classification—0
Road Grip Uncertainty Estimation Through Surface State Segmentation—0
Road Obstacle Detection based on Unknown Objectness Scores—0
ROAD: Responsibility-Oriented Reward Design for Reinforcement Learning in Autonomous Driving—0
RoadRunner -- Learning Traversability Estimation for Autonomous Off-road Driving—0
Road Segmentation for ADAS/AD Applications—0
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles—0
Roadside Units Assisted Localized Automated Vehicle Maneuvering: An Offline Reinforcement Learning Approach—0
Robust3D-CIL: Robust Class-Incremental Learning for 3D Perception—0
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion—0
Robust and accurate depth estimation by fusing LiDAR and Stereo—0
Robust and Accurate Object Velocity Detection by Stereo Camera for Autonomous Driving—0
Robust and Precise Vehicle Localization based on Multi-sensor Fusion in Diverse City Scenes—0
Robust Autonomy Emerges from Self-Play—0
Robust Bird's Eye View Segmentation by Adapting DINOv2—0
Robust Deep Neural Object Detection and Segmentation for Automotive Driving Scenario with Compressed Image Data—0
Robust Detection, Association, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations—0
Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs—0
Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes—0
Robust Lane Detection with Wavelet-Enhanced Context Modeling and Adaptive Sampling—0
Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified