PhD, Osamu Yoshie Lab, Waseda University. Senior Research Scientist in Bosch.
Repositories
PeterJaq/SparseMeXT
The official repo of: SparseMeXt: Unlocking the Potential of Sparse Representations for HD Map Construction
PeterJaq/adas-arxiv-daily
PeterJaq/DailySync
同步佳明数据至国际区和Strava。感谢 @gooin
PeterJaq/optical_film_toolbox
# Optical thin film design tools
PeterJaq/peterjaq.github.io
PeterJaq/Bosch-CR-RIX-ADAS.github.io
Bosch-CR-RIX-ADAS Home Land
PeterJaq/DiffVLA
PeterJaq/AnuPpuccin
Personal theme for Obsidian
PeterJaq/lidar_perception
PeterJaq/optical-film-maker
# An optical thin film design tool box
PeterJaq/OccNet-Course
国内首个占据栅格网络全栈课程《从BEV到Occupancy Network，算法原理与工程实践》，包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 课程主页：http://111.229.117.200:7001/
PeterJaq/Awesome-4D-Label-in-Autonomous-Driving
PeterJaq/BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
PeterJaq/Optical-Modeling
Optical Modeling (Transfer Matrix): Modeling the light propogation, light absorption, transmission, and reflection in a multi-layer thin-film stack and current in solar cells.
PeterJaq/SpectrumCalibration
PeterJaq/pypcd
PCL pcd fileformat i/o in Python
PeterJaq/docs-l10n
Community translations of TensorFlow documentation
PeterJaq/deep_features_of_optical_constant
PeterJaq/A-loam
PeterJaq/Clocs_spconv2
PeterJaq/awesome-autonomous-vehicles
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
PeterJaq/yolo_parkingslot_detection
PeterJaq/happy-dev-env
happy dev environment
PeterJaq/tensorRT_Pro_3D
C++ library based on tensorrt integration
PeterJaq/lidar_perception_msgs
PeterJaq/CUDA-PointPillars
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
PeterJaq/FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
PeterJaq/awesome-lane-detection
A paper list of lane detection.