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 4801–4850 of 6092 papers

TitleStatusHype
PointAugmenting: Cross-Modal Augmentation for 3D Object Detection—0
Deep Learning for Multi-View Stereo via Plane Sweep: A Survey—0
EdgeConv with Attention Module for Monocular Depth Estimation—0
Robustness of Object Detectors in Degrading Weather Conditions—0
A Multi-Layered Approach for Measuring the Simulation-to-Reality Gap of Radar Perception for Autonomous Driving—0
Visual Sensor Pose Optimisation Using Visibility Models for Smart Cities—0
Semantically Adversarial Scenario Generation with Explicit Knowledge Guidance—0
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning—0
Stein ICP for Uncertainty Estimation in Point Cloud MatchingCode0
Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos—0
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices—0
Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing—0
DeepCompress: Efficient Point Cloud Geometry CompressionCode0
SDNet: mutil-branch for single image deraining using swinCode0
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview—0
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles—0
Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving—0
Short-term Maintenance Planning of Autonomous Trucks for Minimizing Economic Risk—0
KLIEP-based Density Ratio Estimation for Semantically Consistent Synthetic to Real Images Adaptation in Urban Traffic Scenes—0
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving—0
On Enhancing Ground Surface Detection from Sparse Lidar Point Cloud—0
Inferring Temporal Logic Properties from Data using Boosted Decision Trees—0
Autonomous Driving Implementation in an Experimental EnvironmentCode0
Safety Metrics for Semantic Segmentation in Autonomous Driving—0
Evaluating Robustness over High Level Driving Instruction for Autonomous DrivingCode0
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry—0
Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization—0
Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain AdaptationCode0
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic ScenariosCode0
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern SimilarityCode0
Ensemble-based Semi-supervised Learning to Improve Noisy Soiling Annotations in Autonomous Driving—0
Reinforcement Learning Based Safe Decision Making for Highway Autonomous Driving—0
Scene Understanding for Autonomous Driving—0
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors—0
A 2.5D Vehicle Odometry Estimation for Vision Applications—0
A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs—0
Preference learning along multiple criteria: A game-theoretic perspective—0
Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS)Code0
Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction—0
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
Pedestrian Detection in 3D Point Clouds using Deep Neural Networks—0
A LiDAR Assisted Control Module with High Precision in Parking Scenarios for Autonomous Driving Vehicle—0
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames—0
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety—0
Physically Feasible Vehicle Trajectory Prediction—0
Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation—0
Recent Advances on Non-Line-of-Sight Imaging: Conventional Physical Models, Deep Learning, and New Scenes—0
Weather and Light Level Classification for Autonomous Driving: Dataset, Baseline and Active Learning—0
Reward (Mis)design for Autonomous Driving—0
Model Guided Road Intersection Classification—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