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 1301–1350 of 2605 papers

TitleStatusHype
On the utilization of Macroscopic Information for String Stability of a Vehicular Platoon—0
On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars—0
Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning—0
Open vs Closed-ended questions in attitudinal surveys -- comparing, combining, and interpreting using natural language processing—0
Open-World Panoptic Segmentation—0
Operationalizing Machine Learning: An Interview Study—0
Opportunistic Collaborative Planning with Large Vision Model Guided Control and Joint Query-Service Optimization—0
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering—0
Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning—0
Optimal Control of Autonomous Vehicles Approaching A Traffic Light—0
Optimal Parking Planning for Shared Autonomous Vehicles—0
Optimal Placement of Roadside Infrastructure Sensors towards Safer Autonomous Vehicle Deployments—0
Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems—0
Optimal strategies for the control of autonomous vehicles in data assimilation—0
Optimising Human-AI Collaboration by Learning Convincing Explanations—0
Optimization based coordination of autonomous vehicles in confined areas—0
Optimization-based Heuristic for Vehicle Dynamic Coordination in Mixed Traffic Intersections—0
Optimization of Layer Skipping and Frequency Scaling for Convolutional Neural Networks under Latency Constraint—0
Optimization of Power Control for Autonomous Hybrid Electric Vehicles with Flexible Power Demand—0
Optimized Detection and Classification on GTRSB: Advancing Traffic Sign Recognition with Convolutional Neural Networks—0
Optimizing Coordinated Vehicle Platooning: An Analytical Approach Based on Stochastic Dynamic Programming—0
Enhancing Expressway Ramp Merge Safety and Efficiency via Spatiotemporal Cooperative Control—0
Optimizing traffic signs and lights visibility for the teleoperation of autonomous vehicles through ROI compression—0
Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata—0
Outlier Detection from Image Data—0
Overview of Sensing Attacks on Autonomous Vehicle Technologies and Impact on Traffic Flow—0
P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking—0
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving—0
PAC-Based Formal Verification for Out-of-Distribution Data Detection—0
PAC Prediction Sets for Meta-Learning—0
PAI3D: Painting Adaptive Instance-Prior for 3D Object Detection—0
PALM: An Incremental Construction of Hyperplanes for Data Stream Regression—0
PaniCar: Securing the Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting—0
Parallelized Interactive Machine Learning on Autonomous Vehicles—0
Partial Weight Adaptation for Robust DNN Inference—0
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving—0
Passenger hazard perception based on EEG signals for highly automated driving vehicles—0
PatchContrast: Self-Supervised Pre-training for 3D Object Detection—0
Path Planning in Support of Smart Mobility Applications using Generative Adversarial Networks—0
PBP: Path-based Trajectory Prediction for Autonomous Driving—0
PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21)—0
Pedestrian and Passenger Interaction with Autonomous Vehicles: Field Study in a Crosswalk Scenario—0
Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized Intersection Using Deep Q-Network—0
Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints—0
Pedestrian Detection in Low-Light Conditions: A Comprehensive Survey—0
Pedestrian detection with high-resolution event camera—0
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors—0
Pedestrian Models for Autonomous Driving Part I: Low-Level Models, from Sensing to Tracking—0
Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior—0
Pedestrian Prediction by Planning using Deep Neural Networks—0
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Benchmark Results

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