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 541550 of 2605 papers

TitleStatusHype
Unleashing OpenTitan's Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading0
Communication-Efficient MARL for Platoon Stability and Energy-efficiency Co-optimization in Cooperative Adaptive Cruise Control of CAVs0
OoDIS: Anomaly Instance Segmentation BenchmarkCode1
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving0
RMF: A Risk Measurement Framework for Machine Learning Models0
Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective0
SemanticSpray++: A Multimodal Dataset for Autonomous Driving in Wet Surface ConditionsCode1
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving0
Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset0
Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata0
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Benchmark Results

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