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

Showing 676700 of 2605 papers

TitleStatusHype
DynaSLAM: Tracking, Mapping and Inpainting in Dynamic ScenesCode0
DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter WeatherCode0
ecg2o: A Seamless Extension of g2o for Equality-Constrained Factor Graph OptimizationCode0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic ImageryCode0
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A SurveyCode0
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural NetworkCode0
Active propulsion noise shaping for multi-rotor aircraft localizationCode0
A Framework for Multisensory Foresight for Embodied AgentsCode0
doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language NavigationCode0
Deterministic Iteratively Built KD-Tree with KNN Search for Exact ApplicationsCode0
No driver, No Regulation? --Online Legal Driving Behavior Monitoring for Self-driving VehiclesCode0
Detecting Out-of-distribution Objects Using Neuron Activation PatternsCode0
DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous VehiclesCode0
A Robust Road Vanishing Point Detection Adapted to the Real-World Driving ScenesCode0
Depth- and Semantics-aware Multi-modal Domain Translation: Generating 3D Panoramic Color Images from LiDAR Point CloudsCode0
Detecting Adversarial Attacks on Neural Network Policies with Visual ForesightCode0
Distillation as a Defense to Adversarial Perturbations against Deep Neural NetworksCode0
EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial RepresentationsCode0
Generative AI-empowered Simulation for Autonomous Driving in Vehicular Mixed Reality MetaversesCode0
Recurrent Flow-Guided Semantic ForecastingCode0
Coherent, super resolved radar beamforming using self-supervised learning0
A Robust Pedestrian Detection Approach for Autonomous Vehicles0
CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration0
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles0
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems0
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Benchmark Results

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