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 3601–3650 of 6092 papers

TitleStatusHype
Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach—0
Toward Information Theoretic Active Inverse Reinforcement Learning—0
Toward Pedestrian Head Tracking: A Benchmark Dataset and an Information Fusion Network—0
Toward RAW Object Detection: A New Benchmark and a New Model—0
Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting—0
Towards 3D Semantic Scene Completion for Autonomous Driving: A Meta-Learning Framework Empowered by Deformable Large-Kernel Attention and Mamba Model—0
Towards 6G-V2X: Aggregated RF-VLC for Ultra-Reliable and Low-Latency Autonomous Driving—0
Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup—0
Towards Accurate Ego-lane Identification with Early Time Series Classification—0
Toward Safety-First Human-Like Decision Making for Autonomous Vehicles in Time-Varying Traffic Flow—0
Towards Automated Safety Coverage and Testing for Autonomous Vehicles with Reinforcement Learning—0
Towards Autonomous Driving: a Multi-Modal 360^ Perception Proposal—0
Towards Autonomous Driving of Personal Mobility with Small and Noisy Dataset using Tsallis-statistics-based Behavioral Cloning—0
Autonomous Driving Small-Scale Cars: A Survey of Recent Development—0
Towards Autonomous Riding: A Review of Perception, Planning, and Control in Intelligent Two-Wheelers—0
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios—0
Monocular Outdoor Semantic Mapping with a Multi-task Network—0
Toward Scalable Verification for Safety-Critical Deep Networks—0
Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention—0
Towards Corner Case Detection for Autonomous Driving—0
Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation—0
Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation—0
Towards Efficient 3D Object Detection in Bird's-Eye-View Space for Autonomous Driving: A Convolutional-Only Approach—0
Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction—0
Towards Explainable AI for Channel Estimation in Wireless Communications—0
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets—0
Towards exploring adversarial learning for anomaly detection in complex driving scenes—0
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices—0
Towards Generalized and Incremental Few-Shot Object Detection—0
Enhancing Accuracy and Robustness of Steering Angle Prediction with Attention Mechanism—0
Towards Human-Like Driving: Active Inference in Autonomous Vehicle Control—0
Towards Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach—0
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning—0
Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior—0
Towards Latency-Aware 3D Streaming Perception for Autonomous Driving—0
Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving—0
Towards Live 3D Reconstruction from Wearable Video: An Evaluation of V-SLAM, NeRF, and Videogrammetry Techniques—0
Towards Map-Based Validation of Semantic Segmentation Masks—0
Towards Model Generalization for Monocular 3D Object Detection—0
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents—0
Object Re-Identification from Point Clouds—0
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation—0
Towards Panoptic 3D Parsing for Single Image in the Wild—0
Towards Real Time Egocentric Segment Captioning for The Blind and Visually Impaired in RGB-D Theatre Images—0
Towards Robust 3D Object Detection In Rainy Conditions—0
Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures—0
Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning—0
Towards Robust Physical-world Backdoor Attacks on Lane Detection—0
Adversarial Robustness of Deep Sensor Fusion Models—0
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection—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