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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5601–5650 of 6092 papers

TitleStatusHype
Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving—0
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving—0
GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection—0
GraphGSOcc: Semantic-Geometric Graph Transformer with Dynamic-Static Decoupling for 3D Gaussian Splatting-based Occupancy Prediction—0
Graph-Guided Deformation for Point Cloud Completion—0
Graphics2RAW: Mapping Computer Graphics Images to Sensor RAW Images—0
Graph Laplacian Diffusion Localization of Connected and Automated Vehicles—0
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications—0
Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments—0
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review—0
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving—0
Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving—0
Group Regression for Query Based Object Detection and Tracking—0
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving—0
GSDC Transformer: An Efficient and Effective Cue Fusion for Monocular Multi-Frame Depth Estimation—0
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning—0
Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making—0
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration—0
GVDepth: Zero-Shot Monocular Depth Estimation for Ground Vehicles based on Probabilistic Cue Fusion—0
Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security—0
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents—0
HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning—0
Hardware Acceleration of Lane Detection Algorithm: A GPU Versus FPGA Comparison—0
Hardware Accelerators in Autonomous Driving—0
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead—0
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving—0
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps—0
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection—0
Heatmap-based Vanishing Point boosts Lane Detection—0
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images—0
HE-Drive: Human-Like End-to-End Driving with Vision Language Models—0
HeightFormer: A Multilevel Interaction and Image-adaptive Classification-regression Network for Monocular Height Estimation with Aerial Images—0
HeightFormer: A Semantic Alignment Monocular 3D Object Detection Method from Roadside Perspective—0
HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View—0
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions—0
Heuristic Optimization of Amplifier Reconfiguration Process for Autonomous Driving Optical Networks—0
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction—0
HGNET: A Hierarchical Feature Guided Network for Occupancy Flow Field Prediction—0
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving—0
Hidden Backdoor Attack against Semantic Segmentation Models—0
Hidden Footprints: Learning Contextual Walkability from 3D Human Trails—0
Hierarchical and Decoupled BEV Perception Learning Framework for Autonomous Driving—0
Hierarchical Attention Learning of Scene Flow in 3D Point Clouds—0
Hierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learning—0
Hierarchical Game-Theoretic Planning for Autonomous Vehicles—0
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation—0
Hierarchical Instance Mixing across Domains in Aerial Segmentation—0
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach—0
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving—0
Hierarchical Program-Triggered Reinforcement Learning Agents For Automated Driving—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