A Brief Introduction of Berkeley Deep Drive (BDD)

Presented by Ching-Yao ChanPATH, UC Berkeleyon behalf of Prof. Trevor Darrell

BDD DirectorEECS, UC Berkeley & PATH Co-Director

Multi-Modal Multi-Task Deep Learning for Autonomous Driving

Sauhaarda Chowdhuri1 Tushar Pankaj2 Karl Zipser3

Fast Recurrent Fully Convolutional Networks for Direct Perception in Autonomous Driving

Eric (Yiqi) Hou

Berkeley Deep Drive

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109 McLaughlin Hall

Berkeley, CA 94720-1720

eric.hou@berkeley.edu

Sascha Hornauer

University of California, Berkeley

(ICSI) 1947 Center St

Berkeley, CA 94704

saschaho@icsi.berkeley.edu

Karl Zipser

Berkeley Deep Drive

109 McLaughlin Hall

Berkeley, CA 94704

karlzipser@berkeley.edu

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End-to-end Learning of Driving Models from Large-scale Video Datasets

Huazhe Xu Yang Gao Fisher Yu Trevor Darrell

University of California, Berkeley

PATH Research in NAHSC

Steven Shladover

PATH

Automated Speed Enforcement for California:

A Review of Legal and Institutional Issues

UCB-ITS-PRR-2007-14

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California PATH Research Report

Caroline J. Rodier, Susan A. Shaheen, Ellen Cavanagh

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Smart dust Active Laser Transmitter (SALT)

Matthew Last, Kris Pister

Berkeley Sensor and Actuator Center

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http://www.eecs.berkeley.edu/~mattlast

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