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 4601–4625 of 6092 papers

TitleStatusHype
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors—0
Video Class Agnostic Segmentation with Contrastive Learning for Autonomous DrivingCode1
A 2.5D Vehicle Odometry Estimation for Vision Applications—0
Preference learning along multiple criteria: A game-theoretic perspective—0
A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs—0
Software Engineering for AI-Based Systems: A SurveyCode1
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction—0
Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS)Code0
Pedestrian Detection in 3D Point Clouds using Deep Neural Networks—0
Learning to drive from a world on railsCode1
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous DrivingCode1
A LiDAR Assisted Control Module with High Precision in Parking Scenarios for Autonomous Driving Vehicle—0
Lite-FPN for Keypoint-based Monocular 3D Object DetectionCode1
Lane Graph Estimation for Scene Understanding in Urban DrivingCode1
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames—0
Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation—0
Physically Feasible Vehicle Trajectory Prediction—0
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety—0
Weather and Light Level Classification for Autonomous Driving: Dataset, Baseline and Active Learning—0
Recent Advances on Non-Line-of-Sight Imaging: Conventional Physical Models, Deep Learning, and New Scenes—0
Reward (Mis)design for Autonomous Driving—0
Computer vision in automated parking systems: Design, implementation and challenges—0
Heterogeneous-Agent Trajectory Forecasting Incorporating Class UncertaintyCode0
Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances—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