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

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Showing 2451–2500 of 2605 papers

TitleStatusHype
Trajectory planning for autonomous intersection management of connected vehicles—0
Memory-like Map Decay for Autonomous Vehicles based on Grid Maps—0
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities—0
Human-Centered Autonomous Vehicle Systems: Principles of Effective Shared Autonomy—0
Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards—0
Recurrent Flow-Guided Semantic ForecastingCode0
Building Prior Knowledge: A Markov Based Pedestrian Prediction Model Using Urban Environmental Data—0
Focal Loss in 3D Object DetectionCode0
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment—0
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters—0
Socially Aware Kalman Neural Networks for Trajectory Prediction—0
Adversarial Examples: Opportunities and Challenges—0
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement LearningCode0
Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective—0
Humans can decipher adversarial images—0
URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision—0
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios—0
Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning—0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery—0
JuncNet: A Deep Neural Network for Road Junction Disambiguation for Autonomous Vehicles—0
Baidu Apollo Auto-Calibration System - An Industry-Level Data-Driven and Learning based Vehicle Longitude Dynamic Calibrating AlgorithmCode0
Hallucinating Dense Optical Flow from Sparse Lidar for Autonomous Vehicles—0
Autonomous Driving without a Burden: View from Outside with Elevated LiDAR—0
A Brief Survey and an Application of Semantic Image Segmentation for Autonomous Driving—0
Deconvolutional Networks for Point-Cloud Vehicle Detection and Tracking in Driving Scenarios—0
Vehicles Lane-changing Behavior Detection—0
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented RealityCode0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic ImageryCode0
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving—0
Transfer Learning and Organic Computing for Autonomous Vehicles—0
ChipNet: Real-Time LiDAR Processing for Drivable Region Segmentation on an FPGA—0
YouTube AV 50K: An Annotated Corpus for Comments in Autonomous VehiclesCode0
Naturalistic Driver Intention and Path Prediction using Recurrent Neural NetworksCode0
Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks—0
ViLDAR - Visible Light Sensing Based Speed Estimation using Vehicle's Headlamps—0
A Driver Behavior Modeling Structure Based on Non-parametric Bayesian Stochastic Hybrid Architecture—0
Encoding Motion Primitives for Autonomous Vehicles using Virtual Velocity Constraints and Neural Network Scheduling—0
A Dataset for Lane Instance Segmentation in Urban Environments—0
VUNet: Dynamic Scene View Synthesis for Traversability Estimation using an RGB Camera—0
Learning Traffic Flow Dynamics using Random Fields—0
DeepLaser: Practical Fault Attack on Deep Neural Networks—0
DynaSLAM: Tracking, Mapping and Inpainting in Dynamic ScenesCode0
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation—0
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving—0
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles—0
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice—0
Safe Driving Capacity of Autonomous Vehicles—0
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs—0
Spatial Uncertainty Sampling for End-to-End Control—0
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives—0
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Benchmark Results

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