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 2151–2200 of 6092 papers

TitleStatusHype
CertainNet: Sampling-free Uncertainty Estimation for Object Detection—0
Experimental Insights Towards Explainable and Interpretable Pedestrian Crossing Prediction—0
Centimeter-Level Indoor Localization using Channel State Information with Recurrent Neural Networks—0
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning—0
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning—0
Expectation vs. Reality: Towards Verification of Psychological Games—0
Exiting the Simulation: The Road to Robust and Resilient Autonomous Vehicles at Scale—0
ExelMap: Explainable Element-based HD-Map Change Detection and Update—0
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar—0
Applying Semantic Segmentation to Autonomous Cars in the Snowy Environment—0
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning—0
Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving—0
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning—0
Evolutionary Trigger Detection and Lightweight Model Repair Based Backdoor Defense—0
CenterLineDet: CenterLine Graph Detection for Road Lanes with Vehicle-mounted Sensors by Transformer for HD Map Generation—0
EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis—0
EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory—0
Centaur: Robust End-to-End Autonomous Driving with Test-Time Training—0
Applications of Large Scale Foundation Models for Autonomous Driving—0
Evidential Uncertainty Estimation for Multi-Modal Trajectory Prediction—0
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training—0
CE-NPBG: Connectivity Enhanced Neural Point-Based Graphics for Novel View Synthesis in Autonomous Driving Scenes—0
Event Transformer+. A multi-purpose solution for efficient event data processing—0
Event Guided Depth Sensing—0
Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions—0
Addressing Data Misalignment in Image-LiDAR Fusion on Point Cloud Segmentation—0
Event-Aided Time-to-Collision Estimation for Autonomous Driving—0
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs—0
EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse Night Conditions—0
CCL-LGS: Contrastive Codebook Learning for 3D Language Gaussian Splatting—0
Application of YOLOv8 in monocular downward multiple Car Target detection—0
Evaluation of Safety Cognition Capability in Vision-Language Models for Autonomous Driving—0
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets—0
A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation—0
Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving—0
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation—0
AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics—0
Evaluation of Large Language Models for Decision Making in Autonomous Driving—0
Causal reasoning in typical computer vision tasks—0
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control—0
Causality-Driven Reinforcement Learning for Joint Communication and Sensing—0
Application of Tensorized Neural Networks for Cloud Classification—0
Evaluating the Impact of Synthetic Data on Object Detection Tasks in Autonomous Driving—0
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains—0
Application of Multimodal Large Language Models in Autonomous Driving—0
Evaluating the effect of data augmentation and BALD heuristics on distillation of Semantic-KITTI dataset—0
Causal Deep Reinforcement Learning Using Observational Data—0
Evaluating the Adversarial Robustness of Detection Transformers—0
Causal Composition Diffusion Model for Closed-loop Traffic Generation—0
ApolloRL: a Reinforcement Learning Platform for Autonomous 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