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 4601–4650 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
Model Guided Road Intersection Classification—0
On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks—0
Optimal Cost Design for Model Predictive ControlCode1
Learnable Online Graph Representations for 3D Multi-Object Tracking—0
Efficient LiDAR Odometry for Autonomous Driving—0
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object DetectionCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities—0
VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving—0
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable SimulationCode1
Tackling Variabilities in Autonomous Driving—0
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving—0
Multi-task Learning with Attention for End-to-end Autonomous Driving—0
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular CamerasCode1
Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous VehiclesCode0
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset—0
Multi-Modal Fusion Transformer for End-to-End Autonomous DrivingCode2
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation—0
Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors—0
Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation—0
End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving—0
Self-Supervised Pillar Motion Learning for Autonomous DrivingCode1
Motion Prediction Performance Analysis for Autonomous Driving Systems and the Effects of Tracking Noise—0
Temporally smooth online action detection using cycle-consistent future anticipationCode0
Spatiotemporal Deformable Scene Graphs for Complex Activity 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