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 5951–6000 of 6092 papers

TitleStatusHype
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics—0
Latency optimized Deep Neural Networks (DNNs): An Artificial Intelligence approach at the Edge using Multiprocessor System on Chip (MPSoC)—0
LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction—0
Latent Time Neural Ordinary Differential Equations—0
Lateral control for autonomous vehicles: A comparative evaluation—0
LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement—0
LaViPlan : Language-Guided Visual Path Planning with RLVR—0
Layered Interpretation of Street View Images—0
Layout Sequence Prediction From Noisy Mobile Modality—0
LDMapNet-U: An End-to-End System for City-Scale Lane-Level Map Updating—0
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment—0
LEAD: LiDAR Extender for Autonomous Driving—0
LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving—0
Learn 2 Rage: Experiencing The Emotional Roller Coaster That Is Reinforcement Learning—0
Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing—0
Learnable Online Graph Representations for 3D Multi-Object Tracking—0
Learned Multimodal Compression for Autonomous Driving—0
Learning 3D Semantic Segmentation with only 2D Image Supervision—0
Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss—0
Learning Adversarial MDPs with Stochastic Hard Constraints—0
Learning a Layout Transfer Network for Context Aware Object Detection—0
Learning autonomous driving from aerial imagery—0
Learning Autonomy: Off-Road Navigation Enhanced by Human Input—0
Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey—0
Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach—0
Learning-based Autonomous Oversteer Control and Collision Avoidance—0
Learning-based Multi-View Stereo: A Survey—0
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression—0
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation—0
Learning Content-Aware Multi-Modal Joint Input Pruning via Bird's-Eye-View Representation—0
Learning a Decision Module by Imitating Driver's Control Behaviors—0
Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving—0
Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving—0
Learning Feasibility Constraints for Control Barrier Functions—0
LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models—0
Learning from demonstrations with SACR2: Soft Actor-Critic with Reward Relabeling—0
Learning from Maps: Visual Common Sense for Autonomous Driving—0
Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle Planning—0
Learning Grammar of Complex Activities via Deep Neural Networks—0
Learning Human Dynamics in Autonomous Driving Scenarios—0
Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation—0
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning—0
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling—0
Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention—0
Learning Navigation Costs from Demonstration with Semantic Observations—0
Learning Navigation Costs from Demonstrations with Semantic Observations—0
Learning Object-specific Distance from a Monocular Image—0
Learning Off-Road Terrain Traversability with Self-Supervisions Only—0
Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors—0
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels—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