openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
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#include <future>
#include <iostream>
#include <cassert>
#include <csignal>
#include <unistd.h>
#include <capnp/message.h>
#include <capnp/serialize-packed.h>
#include "json11.hpp"
#include "cereal/gen/cpp/log.capnp.h"
#include "common/swaglog.h"
#include "common/messaging.h"
#include "common/params.h"
#include "common/timing.h"
#include "messaging.hpp"
#include "locationd_yawrate.h"
#include "params_learner.h"
#include "common/util.h"
void sigpipe_handler(int sig) {
LOGE("SIGPIPE received");
}
int main(int argc, char *argv[]) {
signal(SIGPIPE, (sighandler_t)sigpipe_handler);
Context * c = Context::create();
SubSocket * controls_state_sock = SubSocket::create(c, "controlsState");
SubSocket * sensor_events_sock = SubSocket::create(c, "sensorEvents");
SubSocket * camera_odometry_sock = SubSocket::create(c, "cameraOdometry");
PubSocket * live_parameters_sock = PubSocket::create(c, "liveParameters");
assert(controls_state_sock != NULL);
assert(sensor_events_sock != NULL);
assert(camera_odometry_sock != NULL);
assert(live_parameters_sock != NULL);
Poller * poller = Poller::create({controls_state_sock, sensor_events_sock, camera_odometry_sock});
Localizer localizer;
// Read car params
char *value;
size_t value_sz = 0;
LOGW("waiting for params to set vehicle model");
while (true) {
read_db_value("CarParams", &value, &value_sz);
if (value_sz > 0) break;
usleep(100*1000);
}
LOGW("got %d bytes CarParams", value_sz);
// make copy due to alignment issues
auto amsg = kj::heapArray<capnp::word>((value_sz / sizeof(capnp::word)) + 1);
memcpy(amsg.begin(), value, value_sz);
free(value);
capnp::FlatArrayMessageReader cmsg(amsg);
cereal::CarParams::Reader car_params = cmsg.getRoot<cereal::CarParams>();
// Read params from previous run
const int result = read_db_value("LiveParameters", &value, &value_sz);
std::string fingerprint = car_params.getCarFingerprint();
std::string vin = car_params.getCarVin();
double sR = car_params.getSteerRatio();
double x = 1.0;
double ao = 0.0;
double posenet_invalid_count = 0;
if (result == 0){
auto str = std::string(value, value_sz);
free(value);
std::string err;
auto json = json11::Json::parse(str, err);
if (json.is_null() || !err.empty()) {
std::string log = "Error parsing json: " + err;
LOGW(log.c_str());
} else {
std::string new_fingerprint = json["carFingerprint"].string_value();
std::string new_vin = json["carVin"].string_value();
if (fingerprint == new_fingerprint && vin == new_vin) {
std::string log = "Parameter starting with: " + str;
LOGW(log.c_str());
sR = json["steerRatio"].number_value();
x = json["stiffnessFactor"].number_value();
ao = json["angleOffsetAverage"].number_value();
}
}
}
ParamsLearner learner(car_params, ao, x, sR, 1.0);
// Main loop
int save_counter = 0;
while (true){
for (auto s : poller->poll(100)){
Message * msg = s->receive();
auto amsg = kj::heapArray<capnp::word>((msg->getSize() / sizeof(capnp::word)) + 1);
memcpy(amsg.begin(), msg->getData(), msg->getSize());
capnp::FlatArrayMessageReader capnp_msg(amsg);
cereal::Event::Reader event = capnp_msg.getRoot<cereal::Event>();
localizer.handle_log(event);
auto which = event.which();
// Throw vision failure if posenet and odometric speed too different
if (which == cereal::Event::CAMERA_ODOMETRY){
if (std::abs(localizer.posenet_speed - localizer.car_speed) > std::max(0.4 * localizer.car_speed, 5.0)) {
posenet_invalid_count++;
} else {
posenet_invalid_count = 0;
}
} else if (which == cereal::Event::CONTROLS_STATE){
save_counter++;
double yaw_rate = -localizer.x[0];
bool valid = learner.update(yaw_rate, localizer.car_speed, localizer.steering_angle);
// TODO: Fix in replay
double sensor_data_age = localizer.controls_state_time - localizer.sensor_data_time;
double camera_odometry_age = localizer.controls_state_time - localizer.camera_odometry_time;
double angle_offset_degrees = RADIANS_TO_DEGREES * learner.ao;
double angle_offset_average_degrees = RADIANS_TO_DEGREES * learner.slow_ao;
capnp::MallocMessageBuilder msg;
cereal::Event::Builder event = msg.initRoot<cereal::Event>();
event.setLogMonoTime(nanos_since_boot());
auto live_params = event.initLiveParameters();
live_params.setValid(valid);
live_params.setYawRate(localizer.x[0]);
live_params.setGyroBias(localizer.x[1]);
live_params.setSensorValid(sensor_data_age < 5.0);
live_params.setAngleOffset(angle_offset_degrees);
live_params.setAngleOffsetAverage(angle_offset_average_degrees);
live_params.setStiffnessFactor(learner.x);
live_params.setSteerRatio(learner.sR);
live_params.setPosenetSpeed(localizer.posenet_speed);
live_params.setPosenetValid((posenet_invalid_count < 4) && (camera_odometry_age < 5.0));
auto words = capnp::messageToFlatArray(msg);
auto bytes = words.asBytes();
live_parameters_sock->send((char*)bytes.begin(), bytes.size());
// Save parameters every minute
if (save_counter % 6000 == 0) {
json11::Json json = json11::Json::object {
{"carVin", vin},
{"carFingerprint", fingerprint},
{"steerRatio", learner.sR},
{"stiffnessFactor", learner.x},
{"angleOffsetAverage", angle_offset_average_degrees},
};
std::string out = json.dump();
std::async(std::launch::async,
[out]{
write_db_value("LiveParameters", out.c_str(), out.length());
});
}
}
delete msg;
}
}
delete live_parameters_sock;
delete controls_state_sock;
delete camera_odometry_sock;
delete sensor_events_sock;
delete poller;
delete c;
return 0;
}