SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2401–2450 of 2605 papers

TitleStatusHype
One Thousand and One Hours: Self-driving Motion Prediction DatasetCode0
FormulaZero: Distributionally Robust Online Adaptation via Offline Population SynthesisCode0
Utilizing Neural Networks for Semantic Segmentation on RGB/LiDAR Fused Data for Off-road Autonomous Military Vehicle PerceptionCode0
Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML SystemsCode0
AttDLNet: Attention-based DL Network for 3D LiDAR Place RecognitionCode0
Agent-aware State Estimation in Autonomous VehiclesCode0
Reinforcement LearningCode0
Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle PerceptionCode0
Two is Better Than One: Digital Siblings to Improve Autonomous Driving TestingCode0
LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature IntegrationCode0
Verifiable Goal Recognition for Autonomous Driving with OcclusionsCode0
Towards Safety Verification of Direct Perception Neural NetworksCode0
Formal Security Analysis of Neural Networks using Symbolic IntervalsCode0
Verifiable Obstacle DetectionCode0
Fool the Stoplight: Realistic Adversarial Patch Attacks on Traffic Light DetectorsCode0
Visual Exploration and Energy-aware Path Planning via Reinforcement LearningCode0
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network ApproachCode0
ecg2o: A Seamless Extension of g2o for Equality-Constrained Factor Graph OptimizationCode0
FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle SettingsCode0
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative ModelsCode0
ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure EventsCode0
Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time CapabilityCode0
Semantic Segmentation with High Inference Speed in Off-Road EnvironmentsCode0
DynaSLAM: Tracking, Mapping and Inpainting in Dynamic ScenesCode0
Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object ShapesCode0
A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection TrainingCode0
LiDAR-Camera Calibration using 3D-3D Point correspondencesCode0
Leveraging Shape Completion for 3D Siamese TrackingCode0
Learning to Map Vehicles into Bird's Eye ViewCode0
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial PerturbationsCode0
A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized NetworkCode0
DVPE: Divided View Position Embedding for Multi-View 3D Object DetectionCode0
RUHSNet: 3D Object Detection Using Lidar Data in Real TimeCode0
Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithmsCode0
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign RecognitionCode0
DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter WeatherCode0
Towards stable training of parallel continual learningCode0
Verifying Safety of Neural Networks from Topological PerspectivesCode0
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural NetworkCode0
Revisiting Few-Shot Object Detection with Vision-Language ModelsCode0
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement LearningCode0
Revisiting Self-Supervised Monocular Depth EstimationCode0
Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputsCode0
OPTIMA: Optimized Policy for Intelligent Multi-Agent Systems Enables Coordination-Aware Autonomous VehiclesCode0
Focal Loss in 3D Object DetectionCode0
Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles with Discrete Gear SelectionCode0
Adversarial Feature Map Pruning for BackdoorCode0
Temporally Consistent Horizon LinesCode0
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural NetworkCode0
Coherence Awareness in Diffractive Neural NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified