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 801–850 of 2605 papers

TitleStatusHype
Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection—0
Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories—0
Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections—0
Dynamic Prioritization of Emergency Vehicles For Self-Organizing Traffic using VTL+EV *—0
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments—0
DynaMIX: Resource Optimization for DNN-Based Real-Time Applications on a Multi-Tasking System—0
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model—0
Dyna-Style Learning with A Macroscopic Model for Vehicle Platooning in Mixed-Autonomy Traffic—0
DyTTP: Trajectory Prediction with Normalization-Free Transformers—0
ε^*+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehicles—0
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review—0
Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout—0
Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1-Constraint—0
Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments—0
A Multiclass Simulation-Based Dynamic Traffic Assignment Model for Mixed Traffic Flow of Connected and Autonomous Vehicles and Human-Driven Vehicles—0
Adaptive Stress Testing for Autonomous Vehicles—0
Enhancing 3D Object Detection in Autonomous Vehicles Based on Synthetic Virtual Environment Analysis—0
Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions—0
Blending Data-Driven Priors in Dynamic Games—0
Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving—0
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles—0
EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems—0
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation—0
EDRF: Enhanced Driving Risk Field Based on Multimodal Trajectory Prediction and Its Applications—0
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review—0
Effectiveness Assessment of Cyber-Physical Systems—0
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles—0
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic—0
Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model—0
Efficient Adversarial Input Generation via Neural Net Patching—0
Efficient algorithms for electric vehicles' min-max routing problem—0
Deep learning based infrared small object segmentation: Challenges and future directions—0
Efficient falsification approach for autonomous vehicle validation using a parameter optimisation technique based on reinforcement learning—0
Efficient Fully Distributed Federated Learning with Adaptive Local Links—0
EfficientLPS: Efficient LiDAR Panoptic Segmentation—0
Efficient Mining Cluster Selection for Blockchain-based Cellular V2X Communications—0
Automatic Testing With Reusable Adversarial Agents—0
Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving—0
Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated Vehicles—0
Automatic driving lane change safety prediction model based on LSTM—0
Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving—0
Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles—0
A machine learning environment for evaluating autonomous driving software—0
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting—0
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout—0
EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation—0
EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps—0
Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation—0
Electric Vehicle E-hailing Fleet Dispatching and Charge Scheduling—0
DeepLaser: Practical Fault Attack on Deep Neural Networks—0
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Benchmark Results

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