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 1601–1650 of 6092 papers

TitleStatusHype
dAJC: A 2.02mW 50Mbps Direct Analog to MJPEG Converter for Video Sensor Node using Low-Noise Switched Capacitor MAC-Quantizer with Auto-Calibration and Sparsity-Aware ADC—0
Cloud-Edge-Terminal Collaborative AIGC for Autonomous Driving—0
AutoSplat: Constrained Gaussian Splatting for Autonomous Driving Scene Reconstruction—0
Research on Reliable and Safe Occupancy Grid Prediction in Underground Parking Lots—0
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection—0
FlowTrack: Point-level Flow Network for 3D Single Object Tracking—0
Uni-DVPS: Unified Model for Depth-Aware Video Panoptic SegmentationCode1
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving—0
Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework—0
Acceleration method for generating perception failure scenarios based on editing Markov process—0
Predicting Trust Dynamics with Dynamic SEM in Human-AI Cooperation—0
FALCON: Frequency Adjoint Link with CONtinuous Density Mask for Fast Single Image Dehazing—0
Deep Reinforcement Learning for Adverse Garage Scenario Generation—0
SeFlow: A Self-Supervised Scene Flow Method in Autonomous DrivingCode2
HGNET: A Hierarchical Feature Guided Network for Occupancy Flow Field Prediction—0
CaFNet: A Confidence-Driven Framework for Radar Camera Depth EstimationCode1
A Rule-Based Behaviour Planner for Autonomous Driving—0
Deep Learning-based Depth Estimation Methods from Monocular Image and Videos: A Comprehensive Survey—0
StreamMOTP: Streaming and Unified Framework for Joint 3D Multi-Object Tracking and Trajectory Prediction—0
BiCo-Fusion: Bidirectional Complementary LiDAR-Camera Fusion for Semantic- and Spatial-Aware 3D Object Detection—0
XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View Synthesis—0
Optimization of Autonomous Driving Image Detection Based on RFAConv and Triplet Attention—0
Image-Guided Outdoor LiDAR Perception Quality Assessment for Autonomous Driving—0
Querying Labeled Time Series Data with Scenario Programs—0
MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object DetectionCode0
End-to-End Autonomous Driving without Costly Modularization and 3D Manual AnnotationCode0
GPT-4V Explorations: Mining Autonomous Driving—0
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point CloudCode2
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view RepresentationCode2
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection—0
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and BenchmarkingCode7
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGACode1
Preferential Multi-Objective Bayesian Optimization—0
The Use of Multimodal Large Language Models to Detect Objects from Thermal Images: Transportation Applications—0
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing—0
Asynchronous Large Language Model Enhanced Planner for Autonomous DrivingCode2
Uncertainty and Self-Supervision in Single-View Depth—0
PoseBench: Benchmarking the Robustness of Pose Estimation Models under Corruptions—0
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding—0
Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic ParticipantsCode0
ECAFormer: Low-light Image Enhancement using Cross AttentionCode0
Physics-informed Imitative Reinforcement Learning for Real-world Driving—0
ABNet: Attention BarrierNet for Safe and Scalable Robot LearningCode1
Online-Adaptive Anomaly Detection for Defect Identification in Aircraft Assembly—0
Is Your HD Map Constructor Reliable under Sensor Corruptions?—0
Reparameterizable Dual-Resolution Network for Real-time Semantic SegmentationCode1
Communication-Efficient MARL for Platoon Stability and Energy-efficiency Co-optimization in Cooperative Adaptive Cruise Control of CAVs—0
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features—0
Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction—0
Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object DetectionCode0
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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