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 2326–2350 of 2605 papers

TitleStatusHype
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks—0
Lane Detection and Classification using Cascaded CNNsCode0
Location Anomalies Detection for Connected and Autonomous Vehicles—0
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection—0
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks—0
Cooperation-Aware Reinforcement Learning for Merging in Dense TrafficCode0
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random FieldCode0
Age and gender bias in pedestrian detection algorithms—0
Safe Trajectory Generation for Complex Urban Environments Using Spatio-temporal Semantic CorridorCode0
Cooperative Lane Changing via Deep Reinforcement Learning—0
Multi-Agent Pathfinding: Definitions, Variants, and BenchmarksCode0
Weather Influence and Classification with Automotive Lidar Sensors—0
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks—0
Providentia -- A Large-Scale Sensor System for the Assistance of Autonomous Vehicles and Its Evaluation—0
Attentional PointNet for 3D-Object Detection in Point CloudsCode0
VolMap: A Real-time Model for Semantic Segmentation of a LiDAR surrounding view—0
Multimodal End-to-End Autonomous Driving—0
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks—0
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge IntelligenceCode0
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas—0
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward—0
Attention-based Supply-Demand Prediction for Autonomous Vehicles—0
Towards Safety-Aware Computing System Design in Autonomous Vehicles—0
Behavior Identification and Prediction for a Probabilistic Risk Framework—0
LEAF: A Benchmark for Federated Settings—0
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Benchmark Results

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