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 1501–1550 of 6092 papers

TitleStatusHype
Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving—0
When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models—0
Velocity Driven Vision: Asynchronous Sensor Fusion Birds Eye View Models for Autonomous Vehicles—0
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object DetectionCode2
A Simulation Benchmark for Autonomous Racing with Large-Scale Human DataCode2
SECRM-2D: RL-Based Efficient and Comfortable Route-Following Autonomous Driving with Analytic Safety Guarantees—0
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications—0
MILAN: Milli-Annotations for Lidar Semantic Segmentation—0
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous DrivingCode1
Explore the LiDAR-Camera Dynamic Adjustment Fusion for 3D Object DetectionCode0
Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid Maps—0
WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding—0
CalibRBEV: Multi-Camera Calibration via ReversedBird's-eye-view Representations for Autonomous Driving.—0
CORT: Class-Oriented Real-time Tracking for Embedded Systems—0
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning—0
KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models—0
Complementary Learning for Real-World Model Failure DetectionCode0
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning—0
SUSTechGAN: Image Generation for Object Detection in Adverse Conditions of Autonomous DrivingCode0
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check—0
Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation MasksCode2
Real-Time 3D Occupancy Prediction via Geometric-Semantic Disentanglement—0
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios—0
PG-Attack: A Precision-Guided Adversarial Attack Framework Against Vision Foundation Models for Autonomous DrivingCode1
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial RepresentationsCode0
OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird's-eye-view Vehicle Semantic Segmentation—0
Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments—0
KiGRAS: Kinematic-Driven Generative Model for Realistic Agent Simulation—0
Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning—0
Hierarchical and Decoupled BEV Perception Learning Framework for Autonomous Driving—0
Fisheye-Calib-Adapter: An Easy Tool for Fisheye Camera Model ConversionCode2
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge BasesCode3
Latency optimized Deep Neural Networks (DNNs): An Artificial Intelligence approach at the Edge using Multiprocessor System on Chip (MPSoC)—0
Gated Temporal Diffusion for Stochastic Long-Term Dense AnticipationCode1
MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation—0
Perception Helps Planning: Facilitating Multi-Stage Lane-Level Integration via Double-Edge Structures—0
Continuity Preserving Online CenterLine Graph LearningCode1
Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts—0
A Unified Probabilistic Approach to Traffic Conflict DetectionCode1
RepVF: A Unified Vector Fields Representation for Multi-task 3D PerceptionCode1
DINO Pre-training for Vision-based End-to-end Autonomous Driving—0
FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object DetectionCode1
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR SegmentationCode1
ScaleFlow++: Robust and Accurate Estimation of 3D Motion from VideoCode1
IFTR: An Instance-Level Fusion Transformer for Visual Collaborative PerceptionCode1
Uplifting Range-View-based 3D Semantic Segmentation in Real-Time with Multi-Sensor Fusion—0
Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network—0
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting—0
Graph Neural Networks with Model-based Reinforcement Learning for Multi-agent Systems—0
Application of Data-Driven Model Predictive Control for Autonomous Vehicle Steering—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