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

Showing 951960 of 2605 papers

TitleStatusHype
Exploring the Influence of Driving Context on Lateral Driving Style Preferences: A Simulator-Based Study0
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey0
Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions0
Exploring the Use of Autonomous Unmanned Vehicles for Supporting Power Grid Operations0
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference0
Eco-Vehicular Edge Networks for Connected Transportation: A Distributed Multi-Agent Reinforcement Learning Approach0
Economic Potential for Hybrid Electric Vehicles in Urban Signal-free Intersections with Decentralized MPC0
EcoFusion: Energy-Aware Adaptive Sensor Fusion for Efficient Autonomous Vehicle Perception0
Black-box Adversarial Attacks in Autonomous Vehicle Technology0
An Image-based Approach of Task-driven Driving Scene Categorization0
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Benchmark Results

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