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 3001–3050 of 6092 papers

TitleStatusHype
ReSim: Reliable World Simulation for Autonomous Driving—0
Resolving Class Imbalance for LiDAR-based Object Detector by Dynamic Weight Average and Contextual Ground Truth Sampling—0
Resolving Class Imbalance in Object Detection with Weighted Cross Entropy Losses—0
Resource Allocation Complexity Analysis for Relay-based Multihop V2V Communication—0
Resource-Efficient Beam Prediction in mmWave Communications with Multimodal Realistic Simulation Framework—0
Restricted Deformable Convolution based Road Scene Semantic Segmentation Using Surround View Cameras—0
Rethinking Closed-loop Training for Autonomous Driving—0
Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection—0
Rethinking Range View Representation for LiDAR Segmentation—0
Rethinking Trajectory Forecasting Evaluation—0
Retrieval and Localization with Observation Constraints—0
Revealing CNN Architectures via Side-Channel Analysis in Dataflow-based Inference Accelerators—0
Reversible Attack based on Local Visual Adversarial Perturbation—0
Review: deep learning on 3D point clouds—0
Review of Feed-forward 3D Reconstruction: From DUSt3R to VGGT—0
Data-driven Camera and Lidar Simulation Models for Autonomous Driving: A Review from Generative Models to Volume Renderers—0
A Survey on 3D LiDAR Localization for Autonomous Vehicles—0
Review on Panoramic Imaging and Its Applications in Scene Understanding—0
Revisiting 3D Object Detection From an Egocentric Perspective—0
Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection—0
LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies—0
Revisiting Modality Imbalance In Multimodal Pedestrian Detection—0
Revisiting Multi-modal 3D Semantic Segmentation in Real-world Autonomous Driving—0
Revisiting Outage for Edge Inference Systems—0
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning—0
Revisit Mixture Models for Multi-Agent Simulation: Experimental Study within a Unified Framework—0
REvolve: Reward Evolution with Large Language Models using Human Feedback—0
Reward (Mis)design for Autonomous Driving—0
STIR^2: Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks—0
RGB-D And Thermal Sensor Fusion: A Systematic Literature Review—0
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
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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