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 5101–5150 of 6092 papers

TitleStatusHype
RelTopo: Enhancing Relational Modeling for Driving Scene Topology Reasoning—0
Remember and Recall: Associative-Memory-based Trajectory Prediction—0
RendBEV: Semantic Novel View Synthesis for Self-Supervised Bird's Eye View Segmentation—0
RenderWorld: World Model with Self-Supervised 3D Label—0
Replay Consolidation with Label Propagation for Continual Object Detection—0
Repopulating Street Scenes—0
RE-POSE: Synergizing Reinforcement Learning-Based Partitioning and Offloading for Edge Object Detection—0
Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain—0
RESAR-BEV: An Explainable Progressive Residual Autoregressive Approach for Camera-Radar Fusion in BEV Segmentation—0
Research, Applications and Prospects of Event-Based Pedestrian Detection: A Survey—0
Research on Edge Detection of LiDAR Images Based on Artificial Intelligence Technology—0
Research on Reliable and Safe Occupancy Grid Prediction in Underground Parking Lots—0
Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology—0
Research on vehicle detection based on improved YOLOv8 network—0
Res-GCNN: A Lightweight Residual Graph Convolutional Neural Networks for Human Trajectory Forecasting—0
Residual 3D Scene Flow Learning with Context-Aware Feature Extraction—0
Residual Chain Prediction for Autonomous Driving Path Planning—0
Residual Graph Convolutional Network for Bird's-Eye-View Semantic Segmentation—0
Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation—0
Resilient Sensor Fusion under Adverse Sensor Failures via Multi-Modal Expert Fusion—0
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
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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