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 551–600 of 6092 papers

TitleStatusHype
Exploring Attention GAN for Vehicle Motion PredictionCode1
Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking with TransformerCode1
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous DrivingCode1
FriendNet: Detection-Friendly Dehazing NetworkCode1
Asynchronous Blob Tracker for Event CamerasCode1
Event-aided Semantic Scene CompletionCode1
Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile RobotsCode1
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch AttacksCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory PredictionCode1
Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local ExplanationsCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Estimating the Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional NetworksCode1
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse NetworkCode1
ES-Net: An Efficient Stereo Matching NetworkCode1
Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event CamerasCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement LearningCode1
Enhancing 6-DoF Object Pose Estimation through Multiple Modality Fusion: A Hybrid CNN Architecture with Cross-Layer and Cross-Modal IntegrationCode1
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGACode1
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
End-to-End Urban Driving by Imitating a Reinforcement Learning CoachCode1
End-to-End Lane Marker Detection via Row-wise ClassificationCode1
End-to-End Pseudo-LiDAR for Image-Based 3D Object DetectionCode1
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous DrivingCode1
Explaining Autonomous Driving Actions with Visual Question AnsweringCode1
Empirical Performance Evaluation of Lane Keeping Assist on Modern Production VehiclesCode1
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance SystemsCode1
3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous DrivingCode1
End-to-end Autonomous Driving Perception with Sequential Latent Representation LearningCode1
Efficient Visual Computing with Camera RAW SnapshotsCode1
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and PriorsCode1
Efficient Risk-Averse Reinforcement LearningCode1
Always Clear Depth: Robust Monocular Depth Estimation under Adverse WeatherCode1
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy PretrainingCode1
3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labellingCode1
ALSO: Automotive Lidar Self-supervision by Occupancy estimationCode1
Action-Based Representation Learning for Autonomous DrivingCode1
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
Efficient Baselines for Motion Prediction in Autonomous DrivingCode1
ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow PredictionCode1
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point CloudsCode1
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous DrivingCode1
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object DiscoveryCode1
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic SegmentationCode1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality FusionCode1
Dynamic Conditional Imitation Learning for Autonomous DrivingCode1
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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