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 1576–1600 of 2605 papers

TitleStatusHype
Modeling Adaptive Platoon and Reservation Based Autonomous Intersection Control: A Deep Reinforcement Learning Approach—0
Never trust, always verify : a roadmap for Trustworthy AI?Code0
Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior?—0
CoCoPIE XGen: A Full-Stack AI-Oriented Optimizing Framework—0
Demystifying the Adversarial Robustness of Random Transformation DefensesCode0
Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles—0
A Comprehensive Eco-Driving Strategy for Connected and Autonomous Vehicles (CAVs) with Microscopic Traffic Simulation Testing Evaluation—0
Simple-BEV: What Really Matters for Multi-Sensor BEV Perception?—0
Waymo Open Dataset: Panoramic Video Panoptic Segmentation—0
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPUCode0
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles—0
Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection—0
Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards—0
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation—0
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles—0
Continual Object Detection: A review of definitions, strategies, and challenges—0
P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking—0
Efficient textual explanations for complex road and traffic scenarios based on semantic segmentation—0
The risk ethics of autonomous vehicles: a continuous trolley problem in regular road traffic—0
Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning—0
E-Scooter Rider Detection and Classification in Dense Urban EnvironmentsCode0
Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments—0
Emergent Visual Sensors for Autonomous Vehicles—0
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml—0
A rigorous multi-population multi-lane hybrid traffic model and its mean-field limit for dissipation of waves via autonomous vehicles—0
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Benchmark Results

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